PHANI TEJA NALLAMOTHU
Chesterfield,MO
Summary
Expert Data, MLOps, Cloud, and AI Leader with nearly 14 years of IT experience designing and delivering scalable, high-performance infrastructure and machine learning solutions. Proven ability to lead cross-functional teams, build end-to-end ML pipelines, and drive operational excellence in cloud-native environments. Adept at aligning technology with business goals to solve complex problems and accelerate innovation. Seeking to contribute deep technical expertise and leadership to a forward-thinking organization
Overview
13
13
years of professional experience
1
1
Certification
Work History
Senior Manager, Technology Architecture
Accenture
10.2023 - Current
- Developed technology roadmaps and implemented ML Ops strategies to optimize and scale ML models in production.
- Designed the data architecture for predictive models using Kafka and databricks.
- Established CI/CD processes resulting in faster and reliable deployments.
- Mentored team members on software engineering best practices.
- Architected and deployed an AI-powered, real-time gas leak detection system, reducing emergency dispatch time by 3 hours and enabling proactive field response.
- Led the design of a scalable machine learning solution for distributed solar power estimation, enhancing grid reliability for utility-scale DER integration
Senior Cloud Engineer 2
Strava
08.2021 - 09.2023
- Lead a team of SREs responsible for maintaining the reliability, availability, and performance of critical systems.
- Design and implement advanced monitoring and alerting systems, reducing mean time to identify and resolve incidents by 30%
- Architect and deploy highly available and fault-tolerant infrastructure solutions using technologies such as Kubernetes, Docker, and AWS.
- Collaborate with development teams to design and implement CI/CD pipelines, resulting in a 40% reduction in deployment failures.
- Lead incident response and post-incident analysis efforts, identifying root causes and implementing preventive measures to mitigate future incidents.
- Develop and enforce SLAs, SLOs, and error budgets, ensuring alignment with business goals and customer expectations.
- Successfully hired and supervised interns during their summer internship, providing valuable guidance and contributing to their professional development.
- Mentored junior engineers, sharing software development best practices and fostering a culture of continuous learning within the team.
- Organized and led a thriving book club with over 30 participants, promoting intellectual exchange and fostering a sense of community within the organization.
- Spearheaded the migration of a complex microservices architecture from Mesos to Kubernetes on AWS, enhancing scalability and resilience while ensuring a seamless transition for critical systems.
- Automated AWS infrastructure provisioning and management using Terraform, streamlining deployment processes and minimizing manual errors.
- Pioneered the establishment of Prometheus metrics federation, seamlessly connecting Kubernetes and Mesos environments to enable centralized monitoring and effective incident response.
- Designed and implemented automated processes for building Grafana dashboards, effectively visualizing key metrics using Graphage and enhancing data-driven decision-making.
- Developed comprehensive Helm charts for existing microservices, facilitating smooth deployment to Kubernetes on AWS and improving application scalability and maintainability.
- Led the successful migration of 15 production databases from MySQL 5.6 to MySQL 5.7, achieving minimal downtime and ensuring data integrity and system availability.
Project Lead Site Reliability Engineer
Centene
01.2018 - 08.2021
- Designed and provisioned secure, multi-tenant Sagemaker functionality for data scientists, enabling efficient and isolated development environments while maintaining data security.
- Engineered a PHI (Protected Health Information) detector by leveraging AWS Comprehend Medical and DynamoDB, ensuring compliance and safeguarding sensitive patient data.
- Successfully migrated an on-premises Jupyterhub application to AWS, enhancing accessibility, scalability, and collaboration among data scientists.
- Implemented an ELK (Elasticsearch, Logstash, Kibana) stack for on-premises Jupyterhub, enabling robust log management and analysis capabilities.
- Designed and executed model predictions as APIs using API Gateway and AWS Lambda, enabling seamless integration of data science insights into applications.
- Developed a purpose-built API to access member scores utilizing API Gateway, Lambda, and DynamoDB, facilitating data-driven decision-making.
- Automated the creation of AWS infrastructure using CloudFormation templates, ensuring consistent and scalable environment provisioning.
- Implemented end-to-end CI/CD processes for data science platform model predictions through AWS CodePipelines, streamlining development workflows.
- Managed and sustained an on-premises Jupyterhub platform catering to over 300 data scientists, providing a collaborative environment for cutting-edge research and analysis.
- Orchestrated CI/CD pipelines in Jenkins for deploying Docker containers to Kubernetes clusters using Helm charts, optimizing application deployment and scalability.
- Orchestrated CI/CD pipelines in Jenkins to seamlessly migrate code from on-premises Bitbucket repositories to Amazon S3, enhancing code versioning and accessibility.
- Created REST APIs using Python and R, leveraging Flask and Plumber libraries, facilitating efficient data access and integration for applications.
- Managed Storage Grid S3 Policies for over 20 teams, ensuring data storage compliance and accessibility.
- Acted as a mentor, sharing software development best practices and nurturing the growth of junior engineers.
Senior Big Data Cloud Analytics Developer
Monsanto, Neteffects
04.2016 - 01.2018
- Proficiently created, maintained, and oversaw EC2 instances within the AWS environment, ensuring optimal performance and resource utilization.
- Skillfully utilized AWS ECS to orchestrate and deploy ponding models across the entire USA, achieving efficient and scalable geospatial data analysis.
- Successfully loaded geospatial data into AWS SQS for processing, contributing to streamlined data workflows and enhanced processing capabilities.
- Created and skillfully managed Docker containers to facilitate the deployment of multiple APIs, enhancing application agility and scalability.
- Developed and configured Application Load Balancers to intelligently distribute workload across EC2 instances, ensuring high availability and optimized performance.
- Leveraged the power of AWS Autoscaling groups to seamlessly handle peak loads, effectively managing resource allocation based on demand.
- Proficiently produced and consumed REST APIs using the Scala Play framework, enabling efficient data exchange and integration within applications.
- Expertly crafted SQL queries to extract essential data from Oracle databases, supporting informed decision-making and data-driven insights.
Big Data Developer
Lumeris
06.2013 - 04.2016
- Proficiently authored SQL stored procedures and configured SQL agent jobs, optimizing data processing and enhancing database management.
- Developed efficient shell scripts to automate the generation of Sqoop commands, simplifying data transfer processes and boosting operational efficiency.
- Successfully converted over 150 SQL server stored procedures into Pig Scripts, contributing to the modernization of data processing workflows.
- Designed and implemented Oozie workflows to automate the execution of Pig Scripts, ensuring consistent and reliable data processing.
- Crafted Java User Defined Functions to extend the capabilities of Pig, enabling advanced data manipulation and analysis.
- Created and managed tables within Hive, supporting efficient data storage and retrieval for analytical purposes.
- Designed and implemented a comprehensive ETL framework, utilizing Sqoop to archive data from RDBMS into HDFS, enhancing data availability and accessibility.
- Engineered a messaging system using Apache Kafka to facilitate seamless communication across teams, fostering collaboration and information exchange.
- Consumed Kafka messages through Spark Streaming and seamlessly integrated them with Hive, enabling real-time data transfer and immediate insights.
- Conducted rigorous performance tuning of Map Reduce programs and Pig Scripts, optimizing data processing speed and resource utilization.
Research Assistant
Pennsylvania State University
01.2012 - 05.2013
- Leveraged decision trees and classification algorithms to enhance security measures by detecting threat actions in densely populated environments.
- Conducted robust statistical analysis of datasets using R programming, uncovering valuable insights to inform strategic decision-making.
- Automated the assembly sequence generation process for defense vehicles using CAD data, resulting in increased efficiency and accuracy.
- Innovatively developed a guided genetic algorithm to generate optimal assembly sequences, achieving a remarkable 1200% improvement in computation efficiency.
- Applied advanced clustering algorithms to retail data, extracting meaningful recommendations to drive enhanced customer experiences and business outcomes.
Education
Master of Science -
Pennsylvania State University
University Park, PA05.2013
B.E -
BITS Pilani
Rajasthan, India05.2011
Skills
- AWS
- Kubernetes
- MLOps
- Databricks
- Docker
- ELK Stack
- Grafana
- Prometheus
- Terraform
- Bash scripting
- Python
- Java
- Hadoop
- SQL
- NoSQL
- CI/CD
Accomplishments
Senior Member of IEEE
Fellow of IETE
Certification
AWS Certified SysOps Admin-Associate (C31YFFMC14QEK42B)
AWS Certified Solutions Architect-Associate (BJ2C1LQ2N5EEYQCW)
AWS Certified Cloud Practitioner (7J8MH0RY15KKK6C6)
Timeline
Senior Manager, Technology Architecture
Accenture
10.2023 - Current
Senior Cloud Engineer 2
Strava
08.2021 - 09.2023
Project Lead Site Reliability Engineer
Centene
01.2018 - 08.2021
Senior Big Data Cloud Analytics Developer
Monsanto, Neteffects
04.2016 - 01.2018
Big Data Developer
Lumeris
06.2013 - 04.2016
Research Assistant
Pennsylvania State University
01.2012 - 05.2013
Master of Science -
Pennsylvania State University
B.E -
BITS Pilani
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