• Documented and maintained reliable legacy data pipelines using SQL and Python, ensuring scalability across various data sources, reducing downtime by 20%.• Implemented and refined onboarding programs to enhance team efficiency, reducing the ramp-up time for new members by 30%.• Developed and optimized end-to-end ETL/ELT pipelines with AWS Glue, integrating data from multiple sources, improving data quality and timeliness by 25%.• Improved code maintenance and pipeline reliability through automation with CodeCommit and GitHub Actions, increasing deployment efficiency by 40%.• Collaborated effectively with a USA-based cross-functional team, leading to the successful delivery of data pipelines and a 15% improvement in analytical model accuracy.• Utilized Docker for containerization, enabling flexible deployment and orchestration of data workflows, reducing setup time by 35%.• Leveraged Snowflake for efficient data warehousing, enhancing performance and scalability for analytical workloads, cutting query times by 25%.• Orchestrated complex data workflows with Apache Airflow, automating scheduling and monitoring, increasing pipeline reliability by 20%.• Contributed to the implementation of Trino, Iceberg, and Hive Metastore as part of a scalable data architecture using S3, dbt, Airflow, ArgoCD, Prometheus, and Open Metadata, leading to a 30% improvement in data processing speed and enhanced system observability.

Apoena Stack is a dedicated content portal for Data Engineering, designed to foster knowledge sharing and promote continuous learning among professionals in the field.• Developed comprehensive video training programs covering essential topics such as Python, Cloud Computing, SQL, and Apache Spark, facilitating skill acquisition for a diverse audience.• Created engaging teaching materials and resources tailored for Data Engineering courses, enhancing the learning experience for students and professionals.• Supported a vibrant technical community, promoting collaboration and networking among members, resulting in increased engagement and resource sharing.• Actively contributed to curriculum development, ensuring content remains up-to-date with industry standards and emerging technologies.

• Implemented and reinforced a DevOps culture and data-driven decision-making within the team, leading to a 30% improvement in deployment speed and a more reliable data pipeline.• Developed and maintained the company's data warehouse in BigQuery, improving data accessibility and reducing query times by 25%.• Optimized company processes using data-driven methods, resulting in a 20% increase in operational efficiency.• Built and maintained ingestion pipelines that handled a 40% increase in data volume without compromising performance.• Created and maintained reports and dashboards, enabling stakeholders to track key metrics and make informed decisions, reducing decision-making time by 15%.• Applied data analysis to business problems, providing actionable insights that led to a 10% increase in revenue. Worked closely with senior leadership, receiving guidance and mentorship to ensure alignment with business goals.