Upal Mukherjee is a Lead Data Engineer with roughly nine years in data engineering roles and 17 years in IT, specializing in cloud-native pipelines using AWS, Python, PySpark, Snowflake, Airflow, DBT, Kafka and infrastructure-as-code like Terraform. He has led and delivered data platforms across e-commerce, travel, energy and BFSI domains for companies including Wiser Solutions, Mindera, TEKsystems and LTI, often working remotely across distributed teams. Known for combining hands-on ETL and data modeling with orchestration and lakehouse technologies (Trino, Iceberg), he focuses on scalable, production-grade pipelines and observability. A practical tech lead who rose from database and ETL roots to architect modern data stacks, he brings deep UNIX/DBMS experience that helps diagnose production issues faster than most cloud-native engineers. Based in Pimpri-Chinchwad, India, he balances long-term legacy migration experience with current best practices in data engineering.
9 years of coding experience
13 years of employment as a software developer
High School, General Studies, A, High School, General Studies, A at DAV Public School, Durgapur
Bachelor of Technology (B.Tech.), Computer Science Engineering, A, Bachelor of Technology (B.Tech.), Computer Science Engineering, A at Dr BC Roy Engineering College
Payloads with Icons for Payload Guest by Al Azif - Firmware 9.00
Contributions:36 commits, 32 pushes, 4 branches in 11 months
firmwarepayloadps4exploitpayloads
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