Tools and platform:SQL, Python, Git, Meltano, dbt, Dagster, AWS (Redshift, ECS)

Handled all-around data management work.▪ Facilitated meetings with managers, project owners, and stakeholders to gather precise data requirements, resulting in seamless decision-making processes.▪ Led the Data Catalog Project initiative, establishing a centralized repository for data assets across the organization, improving data accessibility and democratization.▪ Developed and implemented data quality monitoring mechanisms to proactively identify data anomalies, maintaining a high standard of data integrity throughout the organization.▪ Spearheaded the implementation of identity and access management monitoring, ensuring secure and controlled access to data assets, bolstering data governance and compliance measures.▪ Implemented proactive alerts for timely identification and resolution of data pipeline failures, ensuring seamless data flow and minimizing downtime.▪ Established robust CI/CD pipelines via GitLab Runner, streamlining the development, testing, and deployment of data engineering solutions, resulting in increased efficiency and faster productionalization.Tools and platform: GCP (Cloud Run, BigQuery, Cloud Functions, Cloud Scheduler, Workflows, Cloud Storage), SQL, Python, GitLab CI, Great Expectations, Data Catalog (Secoda)

▪ Built data pipelines from various data sources via Debezium and Kafka Connect.▪ Utilized Apache Airflow for orchestrating data deduplication and custom data ingestion (EL) workflows.▪ Built data quality monitoring tool using Great Expectations library.▪ Developed bot for data completeness monitoring.Tools and platform: GCP (BigQuery, Cloud Storage), AWS (Prototyping, deployments on EC2), SQL, Python, Great Expectations, BigQuery, Apache Airflow, Apache Kafka, Debezium, GitHub

▪ Data Analysis for Courier’s Return Performance for one of their service partner.▪ Created a dashboard for hub operators for misrouted orders▪ Dispute analysis for misrouted orders using Google Maps API