2022 (Dec-Present): Data Engineer
BRAC IT Services Limited
- Optimized existing Apache Airflow pipelines, reducing execution time by 40%, improving data freshness and system throughput.
- Developed and maintained scalable ETL workflows using Airflow and Airbyte, ensuring seamless data integration across microservices and platforms.
- Implemented the Finance Module data warehouse, enabling structured, high-volume financial data reporting and strategic decision-making.
- Designed and deployed optimized data models for the Loan Module to enhance query performance, storage efficiency, and maintainability.
- Improved query execution by 25% through partitioning and repartitioning of large tables (over 600GB), optimizing database performance.
- Involved in the legacy-to-modern system data migration, ensuring data consistency, operational continuity, and zero downtime.
- Collaborated with cross-functional teams (Data Analysts, Developers) to deliver validated datasets tailored for business intelligence and reporting.
- Mentored junior engineers and interns, promoting best practices in SQL optimization, ETL pipeline design.
Skills: PostgreSQL, PL/pgSQL, dbt, Python, ETL, Apache Airflow, Airbyte, Warehouse Data Modeling, Git

2022 (Aug-Nov): Intern – Data Engineer
BRAC IT Services Limited
- Used SQL extensively to query databases, extract data, and perform complex aggregations, joins, and calculations to support reporting and analysis.
- Developed PL/pgSQL functions, stored procedures, & packages to enable efficient reporting, data retrieval, and large-scale data preparation for optimized performance and scalability.
- Designed and automated complex data workflows using Apache Airflow, ensuring seamless and reliable data orchestration across multiple environments.
- Performed data visualization by conducting statistical analysis, followed by creating interactive dashboards and reports using Python and Power BI, enabling data-driven insights for informed decision-making.
- Performed database table partitioning and indexing, optimizing query performance and improving overall system efficiency.
Skills: PostgreSQL, PL/pgSQL, Python, ETL, Apache Airflow, Power BI, Statistics