Summary
Overview
Work History
Education
Skills
Timeline
Generic

Mahender Ramdas

Sunnyvale,CA

Summary

Around 12 years of IT experience, as strong background in object-oriented programming and Web/Application developer. Looking for a position to fit myself an integral part of a team and dynamic professional environment. A punctilious, fast learner offering the ability to access an organization’s need and create a complementary, robust web presence.

Overview

12
12
years of professional experience

Work History

Cloud Automation Engineer

Walmart
Sunnyvale, CA
12.2024 - Current
  • Project Description: As a Cloud automation Engineer at Walmart, I was responsible for close collaboration with team members for an in-house tool PEM used for migrating cloud infra on demand across different cloud vendors to enable robust client infrastructure platforms.
  • Responsibilities:
  • Developed and maintained a Python-based application, leveraging the FastAPI framework to expose APIs, deployed on GKE clusters.
  • Migrated from Splunk to OpenObserve, replicating dashboards and integrating custom VRL functions for real-time anomaly detection and observability.
  • Optimized ETL pipelines and MongoDB queries for efficient data ingestion, transformation, and reporting across application modules.
  • Built interactive dashboards using Plotly and Apache MADlib to standardize data visualization across teams.
  • Refactored legacy R scripts into modular Python codebases, improving maintainability and enabling centralized metric computation.
  • Integrated Python APIs with internal metric systems to ensure robust connectivity and real-time data access.
  • Managed CI/CD pipelines using GitHub, implementing PR reviews, automated testing, and rebasing strategies for clean deployments.
  • Deployed multi-region Azure infrastructure for stateless application migrations, ensuring high availability and compliance.
  • Integrated Azure Key Vault for centralized secrets management with RBAC enforcement across environments.
  • Managed AKS clusters and implemented Helm-based GitOps pipelines for scalable, repeatable deployments of PEM-migrated workloads.
  • Implemented Istio service mesh for secure service-to-service communication, traffic routing, and observability.
  • Monitored and tuned Kubernetes clusters using Prometheus and Application Insights to ensure optimal performance and reliability.
  • Automated infrastructure provisioning and scaling using Terraform, orchestrating region adds/removes and lifecycle events.
  • Developed and maintained Infrastructure as Code using CloudFormation, CDK, and Terraform for multi-environment AWS deployments.
  • Created reusable IaC modules to standardize VPC, RDS, Lambda, API Gateway, and S3 provisioning across dev, QA, and production.
  • Automated environment deployments through CI/CD pipelines integrated with Git, shell scripting, and cloud-based build systems.
  • Performed infrastructure cost analysis and optimization, implementing resource tagging and lifecycle policies to reduce monthly AWS spend.
  • Migrated Terraform Enterprise workspaces to Managed Terraform and enforced infrastructure-as-code best practices in CI/CD workflows.
  • Environment: Python, GCP, AZURE, AWS, Private cloud, Terraform, FAST API, Kubernetes, MongoDB, GitHub, and Open Observe.

Python Developer/Automation Testing Engineer

Google
San Jose, CA
09.2023 - 12.2024
  • Project Description: As a Python Developer/Automation Testing Engineer at Google, my role involves close collaboration with software developers and quality assurance teams to identify and comprehend testing requirements. Focused on meticulous testing practices, I craft and review test automation scripts in Python, ensuring comprehensive coverage of software functionality. Executing automated tests and conducting thorough result analysis and identifying defects and performance issues.
  • Responsibilities:
  • Developed Python automation scripts for resource management on Google Cloud Platform (GCP), enhancing operational efficiency.
  • Collaborated with development teams to integrate automation workflows into the Piper build system, streamlining code compilation, testing, and deployment.
  • Implemented Python scripts for automated issue tracking and bug management, seamlessly integrating with the Buganizer system.
  • Worked with cross-functional teams to implement end-to-end automation solutions spanning GCP, Piper, and Buganizer.
  • Automated interactions with GCP APIs to ensure seamless integration and efficient resource management.
  • Developed and maintained Python-based automation scripts for Android applications, employing ADB for debugging and testing on physical devices or emulators.
  • Utilized Android Flash Tool for updating or flashing Android firmware and managing software installations.
  • Developed and maintained scalable data pipelines using Apache Airflow, enhancing ETL processes for real-time data integration in GCP.
  • Tested mobile applications on Android platforms using Python automation to ensure adherence to quality standards.
  • Managed a fleet of Android devices within an organization, troubleshooting issues using ADB, and updating firmware with Android Flash Tool.
  • Contributed to firmware development for Android-based devices, debugging and optimizing firmware using ADB, and implementing updates with Android Flash Tool.
  • Leveraged GCP services such as Cloud Storage, BigQuery, and Pub/Sub to optimize data storage and processing, resulting in a 25% reduction in data retrieval times.
  • Utilized Piper for effective code storage and version control, serving as a repository management tool.
  • Deployed Cider as a versatile Visual Studio tool, optimizing development workflows and elevating code quality.
  • Conducted performance tuning and optimization of Airflow tasks, achieving a significant reduction in job runtime and resource consumption.
  • Applied the Fig command tool for advanced command-line operations, enhancing development efficiency and automating workflow tasks.
  • Used the Mobly RPC library tailored for Android devices to trigger actions and perform testing on Android platforms.
  • Provided technical documentation and training to team members on best practices for Airflow usage and GCP services, fostering a culture of knowledge sharing and collaboration.
  • Integrated Mobly with Mobile Harness, providing a streamlined connection that enhances your testing capabilities.
  • Environment: Python, GCP, Piper, Buganizer, Gut, ADB, Android Flash Tool, Mobly, Cider V, Fig, GCP APIs

Sr. Python AWS Developer

Advance Auto Parts
Raleigh, NC
11.2022 - 08.2023
  • Project Description: As Python developer at Advance Auto Parts, led the end-to-end development of a web-based data retrieval system, translating customer requirements into design specifications and implementing RESTful Web Services using Python. Designed and maintained databases, created dynamic HTML UI with jQuery, and utilized Django's framework to develop an enterprise social network application. Implemented machine learning modules in Hadoop on AWS, performed text analytics with Spark, and utilized AWS Lambda for data import from DynamoDB to Redshift. Collaborated on GIT version control using Source Tree and developed SQL queries for data validation in Tableau Desktop.
  • Responsibilities:
  • Developed and designed an API (RESTful Web Service). Used the Python language to develop web-based data retrieval systems.
  • Hands on Experience in AWS like Amazon EC2, Amazon S3, Amazon Redshift, Amazon EMR and Amazon SQS, glue, Athena, lambda, etc.
  • Involved in doing AGILE (SCRUM) practices and planning of sprint attending agile (SCRUM) meetings and SPRINT retrospective meetings to produce quality deliverables within time.
  • Developed the ETL jobs using AWS glue as per the requirements to update the data into the staging database (Postgres) from various data sources and REST API'S.
  • Hands on experience in developing ETL data pipelines using PySpark, AWS glue on AWS EMR
  • Design, development and Implementation of Apache Spark, AWS glue on AWS EMR.
  • Designed and implemented serverless AWS architectures using Lambda, API Gateway, Athena, Glue, and S3 to support finance and reporting workloads.
  • Built cost-optimized data query solutions using Amazon Athena, reducing operational database load for reporting systems.
  • Developed secure VPC-based architectures including private subnets, NAT gateways, and IAM role-based access for financial data isolation.
  • Implemented CloudFront distributions for secure and low-latency delivery of internal finance APIs and static assets.
  • Designed and maintained databases using Python and developed Python based API (RESTful Web Service) using Flask, SQL Alchemy and PostgreSQL.
  • Created complex dynamic HTML UI using jQuery. Automated Regression analysis for determining fund returns based on index returns (Python/Excel). Worked on development of SQL and stored procedures, trigger and function on MYSQL.
  • Created Athena and integrated with AWS Glue to fully manage ETL service that can categorize the data.
  • Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.
  • Worked on JIRA tools for issue tracking, reporting versions, epics, sprints, etc. Used Test driven approach for developing the application and implemented the unit tests using Python Unit test framework.
  • Used Python based GUI components for the front-end functionality such as selection criteria. Connected continuous integration system with GIT version control repository and continually build as the check-in's come from the developer.
  • Involved in writing SQL queries implementing functions, triggers, cursors, object types, sequences, indexes etc. and developed and tested.
  • Performed advanced procedures like text analytics and processing, using the in-memory computing capabilities of Spark using.
  • Developed MapReduce/Spark Python modules for machine learning & predictive analytics in Hadoop on AWS. Implemented a Python-based distributed random forest via Python streaming.
  • AWS lambda and Importing data from DynamoDB to Redshift in Batches using Amazon Batch using TWS scheduler.
  • Created and managed all hosted or local repositories through Source Tree's simple interface of GIT client, collaborated with GIT command lines and Stash.
  • Developed and reviewed SQL queries with use of joins clauses (inner, left. right) in Tableau Desktop to validate static and dynamic data for data validation.
  • Environment: Python, Django, Docker, Kubernetes, CSS, XML, JSON, JavaScript, SQL, CI/CD, GIT, Amazon Web Services (AWS), REST API, and DynamoDB.

Sr. Python AWS Developer

Fannie Mae
Atlanta, GA
06.2022 - 10.2022
  • Project Description: Led the design and development of ETL integration patterns using Python on Spark, transitioning PowerCenter mappings to PySpark for enhanced performance on Kubernetes. Successfully migrated on-premises Informatica ETL to AWS cloud and Snowflake, implementing a streamlined CI/CD pipeline. Introduced a Behavior Driven Development (BDD) framework, provided PySpark guidance, and authored Python unit tests for Flask applications, ensuring project efficiency and quality.
  • Responsibilities:
  • Design and develop ETL integration patterns using Python on Spark.
  • Develop framework for converting existing PowerCenter mappings and to PySpark (Python and Spark) Jobs.
  • Create Pyspark frame to bring data from OB2 to Amazon S3.
  • Translate business requirements into maintainable software components and understand impact (Technical and Business) 0 Provide guidance to development team working on PySpark as ETL platform.
  • Analyzed the SQL scripts and designed it by using PySpark SQL for faster performance and makes sure that quality standards are defined.
  • Optimize the Pyspark jobs to run on Kubernetes Cluster for faster data processing. Provide workload estimates to client.
  • Developed framework for Behavior Driven Development (BOD).
  • Migrated On prem informatica ETL process to AWS cloud and Snowflakes.
  • Implement CI/CD (Continuous Integration and Continuous Development) pipeline for Code Deployment.
  • Written python unit test cases for the flask application and reviews components developed by the team members.
  • Environment: AWS Cloud, S3, EC2, Postgre Spark, Python 3.6, Bigdata, Snowflakes, Hadoop, Kubernetes, Dockers, Airflow, Splunk, DB2, PostgreSQL, CI/CD, and GitHub.

Sr. Python AWS Developer

Lululemon
Seattle, Washington
11.2021 - 05.2022
  • Project Description: Guided the development of a Django retail solution, overseeing the entire Software Development Life Cycle. Set up AWS infrastructure, introduced CI/CD pipelines using Docker, Jenkins, and GitHub, later expanding to GitLab. Orchestrated multiple projects, deployed AWS services through Terraform, tested APIs using Postman, and crafted a Flask application with GraphQL. Proficient in Python development, AWS CLI, and GitLab pipelines. Showcased proficiency in Visual Studio Code and PyCharm, involving Python unit testing and leveraging AWS Lambda for virtual code execution.
  • Responsibilities:
  • Developed Django Application for retail solution.
  • Developed security policies and processes. Developed views and templates with Python and Django's view controller and templating language to create a user-friendly Website interface.
  • Involved in the complete Software Development Life Cycle including gathering requirements, Analysis, Design, Implementation, Testing and Maintenance.
  • Engaged in code reviews and mentorship, fostering best practices in algorithm design and Python programming within the development team.
  • Integrated NoSQL databases with FastAPI applications to support dynamic and unstructured data, utilizing techniques such as sharding and replication to ensure high availability and reliability.
  • Developed and optimized complex algorithms in Python to enhance data processing efficiency by 30%, utilizing libraries such as NumPy and Pandas.
  • Implemented machine learning algorithms using scikit-learn and TensorFlow, achieving a predictive accuracy improvement of 15% on key projects.
  • Setup and build AWS infrastructure various resources, VPC, S3, IAM, Lambda, Route53, API Gateway and RDS in Serverless framework templates.
  • Used Python programming and Django for the backend development, PostgreSQL for database.
  • Developed and optimized Python-based applications leveraging Elasticsearch for high-performance, scalable search and data retrieval solutions, improving query speed by up to 50%.
  • Implemented a CI/ CD pipeline with Docker, Jenkins, and GitHub by virtualizing the servers using Docker for the Dev and Test environments by achieving needs through configuring automation using Containerization.
  • For higher environments developed a CI/CD solution with GitLab pipelines to run from GitHub mirroring process.
  • Integrated Python-based machine learning models with Elasticsearch to enable advanced search features, such as recommendation systems and predictive analytics, enhancing user engagement.
  • Collaborated with cross-functional teams to identify algorithmic challenges and deliver scalable Python solutions, leading to a 40% reduction in processing time.
  • Developed and maintained scalable RESTful APIs using FastAPI, optimizing performance and reducing latency by 30% through asynchronous programming and efficient endpoint design.
  • Architected and automated scalable AWS infrastructures using services like EC2, VPC, S3, and Route 53, optimizing resource allocation through auto-scaling, load balancing, and Infrastructure as Code Terraform for consistent deployments.
  • Designed and implemented AWS security best practices, including IAM, Security Groups, VPC, and KMS for encryption, ensuring compliance with regulations like GDPR and HIPAA while conducting regular security audits and penetration tests.
  • Created automated data pipelines using Python and Elasticsearch to streamline data ingestion and processing, reducing manual intervention and data latency by 40%.
  • Developed Flask application to input the rest data and query the zipline application API using GraphQL and also implemented effective pagination solution for the retrieved data.
  • Experience in developing applications on Python platform from scratch.
  • Designed and implemented data models and schemas for NoSQL databases (e.g., MongoDB, DynamoDB), improving data retrieval speed and system flexibility by leveraging denormalization and indexing strategies.
  • Worked on creating GitLab pipelines to deploy the application to AWS by using terraform vault to get the temporary credentials for the AWS account based on the environment.
  • Written python unit test cases for the flask application.
  • Environment: AWS (IAM, RDS, Route 53, S3, Lambda, API Gateway, Cloud Formation, Cloud Watch, Autoscaling, VPC, Shell Scripts, Unix/ Linux environment. RDS, SES, SQS and SNS) Python, Django, Flask framework, Jenkins, Postman, Visual Studio Code, SonarQube, GitLab CI/CD and GitHub.

Python AWS Developer

Silicon Valley Bank
Tempe, Arizona
12.2019 - 11.2021
  • Project Description: Silicon Valley Bank, a subsidiary of SVB Financial Group is a U.S.-based high-tech commercial bank. I will be working on SVB developing an application for the end customer to perform differently payments (ACH, CHECK, WIRE) and internal transfers.
  • Responsibilities:
  • Deployed infrastructure on AWS utilizing as EC2 (Virtual Servers in the Cloud), RDS (Managed Relational Database Service), VPC and Managed Network and Security, Route 53, Direct Connect, IAM, Cloud Formation, AWS Opsworks (Automate operations), AWS S3, Glacier (Storage in the cloud) and Cloud Watch Monitoring Management
  • Performed performance tuning and optimization on FastAPI applications, including load testing and caching strategies, resulting in a 50% improvement in response times.
  • Hands on experience with IAM to set up user roles with corresponding user and group policies using JSON and add project users to the AWS account with multi factor authentication enabled and least privilege permissions.
  • Responsible for converting and developing new surveillance reports/tools from SAS into SQL Server 2012 to automate production of customized reporting requirements. Analysis of existing SAS code and SAS reports to develop capability for multi-dimensional analysis, including advanced visualizations, of individual trading activity by utilizing SAS (e.g., data step, PROC SQL) and report writing (SAS, PROC REPORT, PROC TABULATE, etc.).
  • Utilized AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups.
  • Experience with EC2, Cloud Watch, Elastic Load Balancing and managing securities on AWS.
  • Knowledge Cloud Formation, AWS Ops Works, AWS Elastic Beanstalk.
  • Used AWS lambda to run code virtually.
  • Documented API endpoints and database schemas using tools like Swagger and Postman, facilitating easier onboarding for new developers and ensuring clear communication of API functionalities.
  • Designed high availability environment for Application servers and database servers on EC2 by using ELB and Auto-scaling
  • Designed front end and backend of the application utilizing Python on Django Web Framework.
  • Configuring and Networking of Virtual Private Cloud (VPC), CloudFront, Route53
  • For the development of the user interface of the website used HTML, CSS, JavaScript, and AJAX
  • Modify the existing Python/Django modules to deliver certain format of data.
  • Designed RESTful XML web service for handling AJAX requests.
  • Developed remote integration with third party platforms by using RESTful web services.
  • Written Python scripts to parse JSON documents and load the data in the database.
  • The data manipulation on the client side is done by using jQuery.
  • Developed entire frontend and backend modules using Python on Django Web Framework.
  • Designed and developed a data management system using MySQL and Django.
  • Supported and enhanced AWS hosted finance applications, performing root cause analysis for production issues and service degradation.
  • Conducted performance tuning on Lambda functions and RDS databases, improving API response time and reducing cold-start latency.
  • Built and maintained operational runbooks, deployment procedures, and support documentation for production support teams.
  • Collaborated with business analysts and finance stakeholders to translate business requirements into scalable AWS technical solutions.
  • Involved in Design, Development, Deployment, Testing, Implementation of the application.
  • Prototyped an augmented reality solution in the form of a video using Premiere Pro, Pylatte and Python, Git Adobe After Effects.
  • Implemented the application in a UNIX environment and comfortable with all its commands.
  • Environment: AWS (IAM, RDS, Route 53, S3 Cloud Watch, Autoscaling, VPC, Shell Scripts, Unix/ Linux environment. RDS, SES, SQS and SNS) Python, Django, Oracle, Jinja, Flask framework, HTML, JavaScript, Jenkins, NumPy, Jenkins and Jupiter Notebook.

Python Developer

All State Insurance
Northfield, Illinois
08.2017 - 12.2019
  • Project Description: The “MyAccount” project is mainly used by the customers and the financial staff for maintaining the details of various personal information and different insurance policies, payment history, and billing cycle. It also allows searching policies depending upon various search criteria. With this, the end-users and customer care staff can make online payments and has an administration module which is used for creating users, groups, and careers. It also provides reports for down payment, online payment, and new business.
  • Responsibilities:
  • Evaluated business requirements and prepared detailed specifications that follow project guidelines required to develop written programs.
  • Exposed to various phases of Software Development Life Cycle using Agile - Scrum Software development methodology.
  • Developed frontend and backend modules using Python on Django Web Framework.
  • Managed, developed, and designed a dashboard control panel for customers and Administrators using Django and PostgreSQL.
  • Experience in developing applications on Python platform from scratch.
  • Used Python to deploy code across platforms.
  • Established Microservices architecture using docker and Kubernetes.
  • Responsible for installation & configuration of Jenkins to support various builds and Jenkins's plugins to automate continuous builds and publishing Docker images to the Nexus repository.
  • Created Python and Bash tools to increase efficiency of retail management application system and operations; data conversion scripts, RabbitMQ, REST, JSON, and CRUD scripts for API Integration.
  • Coded various business process methods required for creation of Web Services related to customer information and provider information, using REST web services.
  • Developing Responsive Design UI Rich Rest Service Applications, Single Page Applications and HTML Wireframes using HTML4 Grid Structures/Layouts, CSS3 Queries, Ajax, AngularJS and Bootstrap.
  • Responsible for launching Amazon EC2 Cloud Instances and configuring the launched instances with respect to specific applications.
  • Worked on Automating, Configuring and deploying instances on AWS, Azure environments and Data centers, also familiar with EC2, Cloud watch, Cloud Formation and managing security groups on AWS.
  • Troubleshooted Production issues pertaining to AWS Cloud Resources and Application Infrastructure point of view.
  • Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python and Bash.
  • Involved in development of Web Services using SOAP for sending and receiving data from the external interface in the XML format.
  • Worked with NumPy, SciPy, Matplotlib, HTTPLib2, Urllib2 and Pandas python libraries during development lifecycle.
  • Developed MongoDB and API prototypes and proofs of concept.
  • Used Agile methodology and SCRUM process for project development.
  • Environment: Python 3, Django, Docker, Kubernetes, Microservices, HTML5, CSS, XML, JSON, JavaScript, jQuery, Bootstrap, PostgreSQL, JavaScript, Subversion, Amazon Web Services (AWS), REST API, Linux, Shell Scripting, NumPy.

Python Developer

Wells Fargo
Concord, California
05.2016 - 08.2017
  • Project Description: We understand our client’s requirements to deliver them the website development solutions as per necessity. Trust is an important aspect of our clients and us; we manage it with our partners for every assignment. Though there are many frameworks written in Python, Django is considered to be the most powerful and popular framework of all time. Our team use to develop the web application using Django framework, we used to use GIT to coordinate the team development.
  • Responsibilities:
  • Developed entire frontend and backend modules using Python on Django Web Framework.
  • Designing Celery and multithreading for scheduling the tasks and multiple activities.
  • Develop Interactive front end to visualize data from backend and represent in graphical manner to batter understanding for user.
  • Experienced in hand coding HTML5, CSS3, JavaScript, and other UI technologies.
  • Involved in various phases of the project like analysis, design, development, and testing.
  • Attend walk-thru meetings with the clients to understand the requirements.
  • Good knowledge on Python pickles. Worked on Bug fixes.
  • Excellent in writing SQL and understanding Oracle, PL/SQL, Stored Procedures, MongoDB.
  • Performed data warehousing, manipulation and migration in MongoDB and MsSQL server.
  • Experience in designing and deploying AWS Solutions using EC2, S3, AWS EMR, Athena and AWS Redshift. Used GIT to coordinate team development.
  • Designed and developed ETL APIs which will automate the data mining in different database servers.
  • Tested entire frontend and backend modules using Python on Django Web Framework.
  • Experience in creating staging collection for MongoDB.
  • Launched AWS EMR Instance using Amazon Web Services using spark application, implemented Spark using PySpark and Spark SQL for faster processing of data.
  • Worked with every phase of the software development lifecycle to develop the application.
  • Performed troubleshooting, fixed and deployed many Python bug fixes of the two main applications that were a main source of data for both customers and internal customer service team.
  • Implement code in python to retrieve and manipulate data.
  • Environment: Python, Django, Selenium, HTML5, CSS3, GIT, JavaScript, HP Quality Center, WS S3, Amazon EC2, AWS Athena, Amazon EMR etc.

Python developer

Soft pal Technologies
Hyderabad, India
09.2013 - 08.2015
  • Project Description: Softpal continuously explores the frontiers of technology and software application development. This gives the clients the sort of expertise and innovation necessary to win in today's cutting-edge technology driven economy. The Softpal identifies the correct technology, the correct tools and correct platform to provide you with the greatest ROI.
  • Responsibilities:
  • Responsible for gathering requirements, system analysis, design, development, testing and deployment.
  • Created Business Logic using Python 2.7.
  • Used Django framework for application development.
  • Participated in the complete SDLC process.
  • Created database using MySQL, wrote several queries and Django APIs to extract data from database.
  • Followed Agile Methodologies to manage full life-cycle development of the project.
  • Wrote scripts in Python for extracting data from HTML file. Used Git for the version control.
  • Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.
  • Was involved in environment, code installation as well as the SVN implementation.
  • Collaborated with internal teams to convert end user feedback into meaningful and improved solutions.
  • Designed and configured database and back-end applications and programs.
  • Resolved ongoing problems and accurately documented progress of a project.
  • Creating unit test/regression test framework for working/new code.
  • Environment: SDLC, Python 2.7, Django, HTML, CSS, MySQL, Apache, etc.

Education

Bachelor’s - computer science

India
01.2013

Master’s - computer science

USA
01.2016

Skills

  • Operating Systems Unix, Linux, Windows and Mac
  • Programming Languages Python, PL/SQL, SAS SQL programming, AngularJS, JAVA
  • Databases Oracle, MySQL, SQL Server, NoSQL and PostgreSQL, Snowflake, GCP, MongoDB
  • Tools Postman, VS Code, IntelliJ, PyCharm, Jupyter Notebook, PL/SQL Developer, TOAD, Terraform, Android Flash Tool, Mobly, Fig and CIDER V
  • Integration Tools Jenkins, Gitlab CI/CD, Terraform and Web Builder
  • Version Control GitHub, Gitlab, SVN and PIPER

Timeline

Cloud Automation Engineer

Walmart
12.2024 - Current

Python Developer/Automation Testing Engineer

Google
09.2023 - 12.2024

Sr. Python AWS Developer

Advance Auto Parts
11.2022 - 08.2023

Sr. Python AWS Developer

Fannie Mae
06.2022 - 10.2022

Sr. Python AWS Developer

Lululemon
11.2021 - 05.2022

Python AWS Developer

Silicon Valley Bank
12.2019 - 11.2021

Python Developer

All State Insurance
08.2017 - 12.2019

Python Developer

Wells Fargo
05.2016 - 08.2017

Python developer

Soft pal Technologies
09.2013 - 08.2015

Master’s - computer science

Bachelor’s - computer science

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Mahender Ramdas