Results-driven Data Engineer with over 5 years in designing and optimizing large-scale data pipelines, supporting business analytics and decision-making. Proficient in Cloud platforms like AWS and Azure, skilled in ETL development, data modeling, CI/CD, and team mentorship to deliver scalable data...
Built and optimized large-scale ETL pipelines for data ingestion and processing.
Experienced with AWS and Azure services including Snowflake, Redshift, and Lambda for scalable data solutions.
Designed star schemas and implemented SCD Type-2 dimensions for efficient data querying.
Developed CI/CD pipelines and utilized CloudWatch for monitoring and alerting to ensure high system availability.
Capgemini
Architected 10+ ETL pipelines processing 3TB+ daily across multi-layer data lake (Landing/Raw/Curated/Archive), reducing data latency by 40%, Led and mentored team of 3 engineers, established AWS Glue optimization best practices achieving 50% faster job execution and $36K annual cost savings,...
Capgemini
Built event-driven workflows with Lambda, Step Functions, and Airflow, automating 60% of manual tasks (15 hours/week saved), Implemented CloudWatch monitoring with SNS alerts, reducing incident response time from 45 minutes to 5 minutes, Contributed to Agile sprints and CI/CD implementation,...
Capgemini
MBA
BTech
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Participated in Agile sprints, implemented CI/CD, and improved deployment workflows.