Gokul Pranesh

Data Engineer with hands-on experience delivering end-to-end ETL/ELT pipelines and enterprise system integrations for 5+ clients across HR, payroll, and workforce management platforms. Proficient in PySpark, Apache Spark (batch and streaming), Databricks, Delta Lake, and Medallion Architecture, with practical exposure to AWS and GCP. Experienced in data lake and data warehouse design including Star Schema, SCD Type 1 and 2, and Data Vault modelling.

Recognised for resolving 95% of production pipeline failures on time and driving a 50% reduction in data processing time.

Data Engineer - Akhira Service Pvt Limited - Coimbatore, India

(2025-09)

• Engineered automated ETL/ELT data pipelines connecting HR, payroll, and workforce management platforms using Dell Boomi AtomSphere and UKG Kronos — eliminating manual transfers across 3 enterprise systems and cutting data processing time by 50%.
• Designed XML, JSON, and flat-file transformation logic with complex business rules to resolve mismatched schemas across client environments, reducing manual data handling by 60% and significantly lowering error rates.
• Architected a centralised data hub and data lake layer serving 5+ client environments — boosting data governance by 40% and enabling consistent cross-system reporting across HR and payroll platforms.
• Spearheaded 2 client projects end-to-end — from requirements gathering and solution design through UAT and go-live — achieving 95% on-time resolution of production pipeline failures.
• Configured and maintained SOAP and REST API integrations, FTP/SFTP data ingestion connections, and multi-environment deployment workflows within Dell Boomi AtomSphere.

Master of Computer Applications - MCA - Bharathiar University (2025 - 2027)

Bachelor of Commerce – Computer Applications - DR GR Damodaran College of Science (2022 - 2025-05)