Delivered 30+ production ETL pipelines in Python for efficient data loading from Snowflake, Hadoop, Excel, and ERUHG into SQL Server (SSMS).
Reduced manual effort by 10 hours/week by automating 10+ manual processes with Python and shell scripting, along with notifications and workflows.
Supported daily production jobs across Airflow, Snowflake, and SQL Server, improving reliability and cutting resolution time by 25%.
Collaborated with 5+ cross-functional teams to develop Python automation, schedule server-side jobs, manage Git deployments, and ensure timely delivery of production-ready data solutions.
Technical Associate
Sears Holdings India
Hyderabad
11.2023 - 01.2025
Designed 50+ scalable ETL pipelines using Python, PySpark, and Shell, optimizing data processing by 60%.
Optimized SQL queries in BigQuery and Snowflake, reducing execution time by 50%.
Orchestrated data workflows on AWS (S3, EC2) and GCP with Airflow, Control-M, and CI/CD pipelines to streamline data management.
Collaborated with cross-functional teams to migrate and integrate 10+ TB of data, enhancing system performance by 25%.
Associate Software Engineer
Sears Holdings India
Hyderabad
11.2022 - 11.2023
Reengineered ETL pipeline architecture for parallel processing of 1M+ daily data points, cutting reporting latency by 30%.
Deployed and managed AWS services (EC2, S3, Glue) for data processing pipelines, optimizing infrastructure costs by 20%.
Managed 50+ daily batch jobs in Control-M and Airflow, maintaining 99.9% success rate.
Automated data extraction and loading into GCP using Python and Shell, saving 80% of manual effort.
Data tools: Apache Airflow, Snowflake, Databricks, REST APIs, VS Code
Cloud platforms: AWS, Microsoft Azure
DevOps and version control: Git, GitHub, CI/CD pipelines
Projects
Developed and automated financial data integration pipelines using Python, SQL, Pandas, and Snowflake to deliver standardized reporting datasets across enterprise platforms.
Improved operational efficiency by 75%, eliminating manual processing and reducing report generation and deployment time from hours to minutes.
Automating Citi Bank Data Integration, Source Code, Developed a scalable ETL pipeline processing 10K+ XML records daily using Python and Shell scripting., Engineered workflows for XML-to-CSV transformation and loading into BigQuery, improving data processing efficiency by 30%., Integrated Apache Airflow for task orchestration and optimized performance on AWS (S3, EC2) and GCP (BigQuery).
Senior Software Engineer / Senior Cloud Engineer / Team Lead at Vyper Logix CorpSenior Software Engineer / Senior Cloud Engineer / Team Lead at Vyper Logix Corp