Data Engineer, Cards Platform, Partnership Team at Barclays (2025-07 – Present)
- Tech Stack: Ab initio, PL/SQL, Oracle, SQL Server
- Design and maintain ETL workflows to process large volumes of partner data, including incoming feeds for rewards, companion credits, and awards programs.
- Build and optimize data pipelines to transform, validate, and integrate partner files before generating outbound deliverables.
- Collaborate with cross-functional teams to ensure accurate reconciliation of partner rewards and timely delivery of processed data back to partners.
Cloud Data Engineer Intern, Enterprise Data Management of NYU IT at New York University (2024-01 – 2025-05)
- Tech Stack: AWS, AWS Step Function, EventBridge, SQS, ETL, Snowflake, Gitlab, Tableau, QuickSight, Big data, Python, CloudWatch
- Developed an AWS Lambda function to fetch data from Snowflake using SQL queries, transform it into a DataFrame, perform quality checks, and send success or failure emails using SQS.
- Automated daily backups of Snowflake objects (schemas, tables, functions, procedures) to GitLab using AWS Lambda, Step Functions, and AWS Scheduler, handling time limits with concurrent mapping.
Data Engineer Intern, Data Operations Team of CLO at Trepp (2024-05 – 2024-08)
- Tech Stack: SSMS, AWS, MWAA, Airflow, Python, Pandas, Terraform, AWS Secret Manager
- Developed and optimized stored procedures in SSMS by implementing temporary tables and indexing, reducing execution time by 50%
- Deployed and managed Airflow on AWS MWAA using Terraform, improving workflow automation and operational efficiency.
Big Data Engineer and Data Analyst, Cybersecurity Team at Reliance Corporate Limited JIO (2021-06 – 2023-08)
- Tech stack: Hadoop and Spark Architecture, Performance tuning, Apache Spark, Apache Superset, Jenkins, Spark SQL, Scala, Docker, HDFS, HIVE, NIFI, Apache Kafka, Containerization
- Built and optimized big data pipelines integrating 5+ sources, improving data retrieval efficiency by 50% and streaming threat hunting for SOC analysts.
- Designed and deployed visualization dashboards using Superset, enabling stakeholders to analyze complex security data sets and increasing overall productivity by 98%
