Headline

ETL Developer | Data Analyst | Python | SQL | PySpark | Power BI | Airflow

About

As a Data Engineer/ETL Developer, I'm profoundly passionate about architecting and deploying scalable, high-performance data systems that fundamentally empower organizations to make intelligent, data-driven decisions. With over 4+ years of dedicated experience in data engineering, comprehensive ETL development, and advanced analytics, I specialize in the complete lifecycle of data solutions—from designing and optimizing robust, end-to-end data pipelines to automating complex workflows and ultimately delivering clean, analytics-ready datasets that directly drive business intelligence and enhance operational efficiency across the enterprise. At Infosys, I was instrumental in developing and meticulously maintaining enterprise-grade ETL frameworks using tools like Apache Spark and Airflow. I successfully orchestrated and monitored complex data ingestion processes, significantly improving system reliability and actively reducing end-to-end latency for critical reporting streams. Subsequently, at KAPIVA, I worked closely with the Marketplace Analytics team to build foundational data products. This included the creation of fully automated Power BI dashboards and intricate KPI reports, which dramatically improved data visibility across diverse e-commerce marketplaces and enabled the leadership team to make better-informed commercial decisions. I bring a pragmatic engineering mindset, demonstrated strong problem-solving skills, and a highly collaborative approach to cross-functional teams, including analytics, operations, and product management. I actively enjoy mentoring peers, championing higher engineering standards, and introducing pragmatic testing and data quality monitoring practices to ensure data trust. My goal is to design resilient, maintainable, and highly performant data ecosystems that accelerate the pace of decision-making and consistently deliver a measurable business impact. I thrive on solving complex data challenges and expertly bridging the gap between data engineering rigor and actionable business analytics—building reliable, automated, and insight-driven data ecosystems that genuinely power intelligent, globally-reaching organizations.

Location

Bengaluru

AI stack

claude code

github copilot

Microsoft Copilot

Work experience

Data Analyst at Kapiva, Feb 2023 - Oct 2024 · 1 yr 9 mos, Bengaluru, Karnataka, India, - Designed and deployed Days of Stock (DOS) dashboards, reducing excess inventory by 27% and improving turnover by 43%. - Automated purchase order return workflows, cutting processing time by 12% and improving operations–finance coordination. - Led real-time billing automation for purchase orders, boosting order fulfillment rate by 19%. - Developed customized Profit & Loss reports with channel-level profitability insights for senior management.

Professional development at Career Break, Oct 2022 - Jan 2023 · 4 mos, Bengaluru, Karnataka

ETL Developer at Infosys, Oct 2019 - Sep 2022 · 3 yrs, Hyderabad, Telangana, India, - Developed and optimized ETL workflows to transform large-scale data from multiple sources into enterprise data warehouses. - Designed and implemented Slowly Changing Dimensions (SCD) for accurate historical data tracking and reporting. - Automated ETL pipelines using Apache Airflow, reducing manual effort and improving job reliability. - Built CI/CD pipelines with Jenkins, enhancing deployment efficiency and system uptime.

Education

Data Engineering, Bosscoder Academy

Bachelor of Engineering - BE, information science and engineering, New Horizon College of Engineering

Public links

github: https://github.com/AbhiAbhiraj621