Data Engineer
Current- Successfully collaborated with solution architects, stakeholders, and product analyst team to strategize database, data pipeline, data management, architecture, and analytical reports to drive revenue growth.- Revamped Product Data Pipeline Architecture with a new model, resulting in accelerated data availability, reduced inconsistency in pipelines and ETL, and significant cost savings in overall architecture.- Developed highly efficient data models and pipelines to meet complex analysis requirements for Monetize and Hyperlocal products.- Created visually appealing and interactive dashboards and reports using BI tools (Metabase, Domo), scripting languages (Python), MySQL, AWS Redshift, and Big Query, enhancing data analysis capabilities for stakeholders and the data analysis team. - Effectively communicated data insights and provided recommendations for optimal utilization of data to support project objectives. Successfully gathered, refined, and defined requirements, led project design, and oversaw implementation.- Played a key role in the successful completion of the Big Query Migration project by migrating ETLs, ensuring data integrity, monitoring data pipelines, and API services.- Optimized ETLs to ensure streamlined data flow within SLA for clients across various regions. Developed and implemented defined Analytics reports and Dashboards, driving revenue growth and providing valuable insights for the Analysis Team and Stakeholders. Empowered them to identify performance areas and prioritize revenue generation efforts.- Proficiently utilized MapReduce, Pub/Sub, terraform, and GCP to enhance data processing and management capabilities.