Experienced with 5+years of experience in Object-oriented programming, including languages such as Python, Java and C++. Utilizes agile methodologies to drive efficient project completion and ensure high-quality software delivery. Track record of applying analytical skills to troubleshoot and resolve complex software issues, ensuring seamless functionality.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Software Development Engineer
Cognizant Technology Solutions Ltd
09.2022 - 05.2023
Developed an AWS Glue Pyspark job to sync advertising data from DynamoDB to an S3 based data lake in columnar parquet format, reducing processing time by40% via AWS SSM
Independently designed and deployed a robust taxonomy and literals python automation solution using AWS S3, SQS, SNS, Lamba, DynamoDB streams and AWS Glue, reducing on-call resolution times from4 hours to5 minutes
Implemented a python feature for configuring EC2 cluster environment variables via config files, enhancing data training precision for10 customers and improving data pipeline consistency
Optimized AWS Redshift clusters, reducing data processing times from1.5 days to3 hours, and enhancing data visualization with AWS QuickSight dashboards by improving schema design and query performance
Led load testing for a data ingesting using AWS S3, SQS, SNS, Lamba, Glue, Athena, EMR and Elastic Redis cache, reducing downtime by20%, by generating test data, simulating high-traffic Scenarios improving data quality by15%
Developed a Python data pipeline for CI/CD integration with a7TB Elastic Cache Redis cluster, enhancing data retrieval speeds by70%
Incorporated error handling, CI tests, and CloudWatch monitoring for cache management
Optimized50 Spark SQL queries using performance tuning techniques, reducing run-time by40% through improved join operations, subqueries, and indexing
Software Engineer
IBM Private Limited
01.2018 - 09.2022
Built an internal Python tool to automate data validation and correction of source data, integrated with Informatica, boosting profits by80% through enhanced data quality and operational efficiency
Created50 Python and Spark SQL notebooks in Azure Databricks to manage clinical and sales data, extracting from SQL Server and loading into AWS S3 data warehouse, enhancing analysis efficiency by30%
Designed and implemented a PySpark job to automate data validation and trigger email reports, boosting response times by80%
Integrated solution into Azure DevOps pipelines using Azure Blob Storage and VMs
Architected20 Python Apache Airflow DAGs to orchestrate data workflows, boosting processing speed by25%
Developed and implemented data models for healthcare data warehouse on AWS Redshift, employing columnar storage and compression that accelerated query performance by60%
Designed and normalized a data warehouse schema for Tableau reporting, increasing report accuracy by30% and enhancing decision-making
Performed ETL operations using Informatica, enhancing data integration for70 business units in their data warehouses
Sr. Executive Support at Cognizant technology Solutions, Cognizant Technology SolutionsSr. Executive Support at Cognizant technology Solutions, Cognizant Technology Solutions