Summary
Overview
Work History
Education
Skills
Certification
Languages
Work Availability
Timeline
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SAIKRISHNA GAJJELA

Summary

Adept at leveraging Python and demonstrating exceptional problem-solving skills, I engineered innovative cloud-based solutions for JPMorgan Chase, significantly enhancing data warehousing and analytics. My expertise spans AWS, Azure, and data pipeline design, driving efficiency and securing sensitive data, underscoring my ability to deliver impactful technological advancements in financial services. Innovative Database Architect with a solid background in designing, implementing, and maintaining complex database solutions. Possess strong skills in data modeling, system scalability, and ensuring data integrity across diverse platforms. Effective communicator and collaborator who has contributed to enhancing database performance and supporting business objectives through strategic planning and technology integration. A proven track record of working in a fast-paced environment. Highly competent Data Engineer with background in designing, testing, and maintaining data management systems. Possess strong skills in database design and data mining, coupled with adeptness at using machine learning to improve business decision making. Previous work resulted in optimizing data retrieval processes and improving system efficiency. Practical database engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering several-year background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities. Results-driven Data Engineer known for high productivity and efficient task completion. Skilled in big data processing frameworks like Hadoop and Apache Spark, database management using SQL, and data visualization with tools such as Tableau. Excel in problem-solving, collaboration, and adaptability to leverage technical skills in developing innovative data solutions across diverse environments. History of mining, warehousing, and analyzing data at the company-wide level. Knowledgeable about the principles and implementation of machine and deep learning. Results-oriented and proactive with top-notch skills in project management and communication. Talented business intelligence professional bringing advanced understanding successful strategies for identifying, protecting, and capitalizing on data assets. Constructs new systems to answer complex business needs. Seasoned Data Architect adept at understanding mandates, developing plans, and implementing enterprise-wide solutions. Complex problem-solver with an innovative approach. Ready to bring several years of progressive experience and take on a challenging new role with growth potential. Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills. Experienced in fast-paced environments and adaptable to last-minute changes. Thrives under pressure and consistently earns high marks for work quality and speed.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Engineer

JPMorgan Chase
New Jersey
01.2024 - Current
  • Implemented a scalable cloud-based data warehouse and analytics platform on AWS using EC2, S3, Redshift, and Glue for financial services.
  • Maximized hosting of critical ETL processes via AWS EC2 instances using custom Python scripts and Spark jobs.
  • Leveraged AWS S3 to handle crucial datasets securely for financial operations.
  • Enabled informed financial decision-making through efficient design of AWS Redshift data warehouse.
  • Coordinated efficient data extraction and transformation processes using AWS Glue, streamlining integration of various financial datasets.
  • Maintained and developed ETL processes to load data into AWS Athena via Amazon S3.
  • Performed SQL query execution against Amazon S3 data with Athena.
  • Implemented effective management of data streams utilizing Amazon Kinesis Data Streams.
  • Developed and applied data transformation logic to streaming data using AWS Lambda and Kinesis Data Analytics
  • Engineered and versioned automated ETL pipelines via GitHub, ensuring reproducible data workflows.
  • Leveraged AWS DMS to transfer data from on-premises databases to AWS cloud storage, reducing downtime.
  • Leveraged AWS Glue for data integration and ETL processes, coordinating data transfer to AWS S3 and Snowflake.
  • Developed automated ETL pipelines incorporating AWS Glue, Lambda, and Step Functions.
  • Expertise in enhancing query efficiency within Amazon Redshift and RDS environments.
  • Developed scalable data workflows utilizing AWS Lambda combined with Step Functions.
  • Ensured efficient monitoring and security of AWS resources by utilizing CloudWatch and implementing IAM roles.
  • Optimized data management using Amazon S3 and lifecycle policies.
  • Utilized Amazon QuickSight to design reports and dashboards for key metric tracking.
  • Documented data architecture designs and changes, ensuring knowledge transfer and system maintainability.
  • Monitored data systems performance, identifying bottlenecks and implementing solutions to maintain system efficiency.
  • Implemented data visualization tools like Tableau and Power BI to create dashboards and reports for business stakeholders.

Data Engineer

CR Infotech solutions
Delhi, IN
08.2019 - 12.2022
  • Developed scalable solutions on Azure to sustain backend infrastructure for mobile banking application using services such as Azure Data Factory, Azure Databricks, and Azure SQL Database.
  • Created migration strategies for transitioning legacy banking systems to Azure, ensuring smooth integration with tools like Azure Lift and Shift and Azure Migrate.
  • Employed Azure Blob Storage, Azure HDInsight, and Azure Data Lake Storage to securely store app data.
  • Optimized application performance using Apache Spark's distributed processing capabilities on the Azure platform for large datasets.
  • Constructed a system in Azure Data Lake to store, process, and analyze significant big data workloads.
  • Implemented Azure Data Lake security controls, including access control lists (ACLs), and Azure Active Directory integration, to secure sensitive data assets.
  • Automated execution and monitoring of data pipelines using integrated GitHub tools within Azure environments.
  • Employed GitHub to manage versions of data transformation scripts, ensuring uniformity in different environments.
  • Rigorously tested data pipelines to guarantee the accuracy and reliability of financial information, while seamlessly integrating with Azure services like Azure Data Lake Storage and Azure Cosmos DB.
  • Created and implemented microservices-based applications on Microsoft Azure Service Fabric ensuring high availability.
  • Developed microservices in Azure Service Fabric utilizing Reliable Actors and Reliable Services.
  • Evaluated ETL process errors and data inconsistencies for troubleshooting.
  • Implemented incremental ETL strategies to enhance efficiency.
  • Developed, tested, and automated complex ETL pipelines using Azure Data Factory, ensuring efficient data ingestion, transformation, and loading from diverse data sources to Azure SQL Database, and Azure Data Lake Storage.
  • Leveraged Azure Data Migration services for extensive data warehousing tasks.
  • Leveraged Apache Spark on Azure Databricks for distributed computing, facilitating the processing and analysis of large banking data.
  • Delivered secure and efficient storage solutions for structured and unstructured data using Azure Blob Storage, Azure Data Lake Storage, and Azure HDInsight.
  • Implemented incremental ETL strategies in Azure Data Factory, reducing data processing times, and optimizing resource usage by only processing changed data.
  • Developed comprehensive data models in Azure SQL Database, ensuring optimal database performance, and supporting complex queries and reporting needs.
  • Deployed Azure Stream Analytics and Azure Event Hubs for real-time data processing and analytics, providing up-to-the-minute insights into business operations.
  • Ensured data security and compliance with industry standards by implementing Azure Key Vault, Azure Policy, and Role-Based Access Control (RBAC) across Azure resources.
  • Developed interactive dashboards and reports using Power BI, integrated with Azure services, providing stakeholders with real-time insights and actionable intelligence.
  • Automated data workflows using Azure Logic Apps and Azure Functions reduce manual intervention and optimize data processing tasks for better efficiency.
  • Collaborated with cross-functional teams to gather requirements and translate business needs into technical specifications for data solutions.
  • Implemented data visualization tools like Tableau and Power BI to create dashboards and reports for business stakeholders.
  • Managed version control and deployment of data applications using Git, Docker, and Jenkins.
  • Created stored procedures for automating periodic tasks in SQL Server.

Education

Masters - Computer Science

University of Central Missouri
05-2023

Bachelors - Computer Science

Lovely Professional University
05-2020

Skills

  • Python
  • Java
  • SQL
  • T-SQL
  • Unix Shell Scripting
  • AWS
  • Azure
  • Apache Spark
  • PySpark
  • Hadoop
  • Hive
  • MapReduce
  • Tableau
  • Power BI
  • Google Analytics
  • Apache Airflow
  • Jupyter Notebook
  • Excel
  • MongoDB
  • NoSQL databases
  • Data warehousing
  • Data integration
  • Data security
  • Data pipeline design
  • ETL development
  • Data modeling
  • SQL expertise
  • Scripting languages
  • Performance tuning
  • Spark framework
  • Data migration

Certification

  • Microsoft Certified: Security, Compliance, and Identity Fundamentals
  • Microsoft Certified: Azure Fundamentals
  • Microsoft Certified Azure Data Engineer

Languages

English
Professional

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

Data Engineer

JPMorgan Chase
01.2024 - Current

Data Engineer

CR Infotech solutions
08.2019 - 12.2022

Masters - Computer Science

University of Central Missouri

Bachelors - Computer Science

Lovely Professional University
SAIKRISHNA GAJJELA