• 7.9 years of IT experience, including 6.9 years in Data Engineering across telecom, banking, and retail clients.
• Expert in building robust, scalable data pipelines using AWS services (S3, Glue, Lambda, Redshift, RDS, EC2, ECS).
• Skilled in PySpark and Spark SQL for high-performance distributed data processing.
• Proven track record in ETL architecture, big data transformations, and cloud-based data lake integration.
• Proficient in Python and SQL for business logic implementation and performance tuning.
• Strong experience with CI/CD (Jenkins), Git, and Agile methodologies.
• Adept at cross-functional collaboration and delivering business-critical data solutions on time. Detail-oriented, organized, and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
Python
PySpark
AWS (S3, Glue, Lambda, Redshift, Athena, RDS, EC2, ECS, IAM, VPC)
PostgreSQL
MySQL
SQL Server
Hive
DynamoDB
Jenkins
Git
Flask
REST APIs
Agile (Scrum)
Waterfall
Software development
Openreach SLAM Data Migration
Technologies: PySpark, Glue, Lambda, Athena, CI/CD
• Migrated critical datasets to AWS Cloud with minimal downtime.
• Built reusable ETL components for future data loads.
• Reduced data discrepancies by 25% through robust validation layers.
Financial Intelligence Unit (FIU)
Technologies: Spark, Hive, Glue, Redshift, S3
• Developed high-volume data pipelines for financial analytics and reporting.
• Modeled Redshift schemas for fast querying of transactional data.
• Ensured regulatory compliance through automated audit logs and masking.
US Foods E-Commerce Platform
Technologies: Python, Django, REST APIs, MySQL
• Built user management, order tracking, and secure checkout modules.
• Improved performance through DB indexing and ORM optimization.