Yatendra Kumar
Bengaluru
Summary
Results-driven Data Engineer with over 3 years of experience in building and optimizing enterprise-scale ETL pipelines and cloud data platforms. Certified Blue Yonder WMS & TMS professional with MOCA query expertise. Delivered data solutions using Azure Data Factory, Synapse Analytics, PySpark, and Kafka, enhancing pipeline efficiency and data quality.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Engineer - L2
Wipro Limited
04.2024 - Current
- Architected and maintained 15+ ADF pipelines ingesting supply chain data from Blue Yonder WMS & TMS into Azure Data Lake, processing 5M+ records daily across warehouse and transportation workflows.
- Built PySpark transformation jobs on Azure Synapse to process and model supply chain datasets, reducing data processing time by 35% through partition tuning and broadcast join optimization.
- Designed Kafka-based event streaming pipeline to capture real-time WMS events, cutting reporting latency from 4 hours to under 20 minutes for operational dashboards.
- Implemented data quality validation framework with automated checks across 30+ pipeline stages, reducing data incidents by 60% and improving downstream report accuracy.
- Resolved 100+ pipeline failures and performance bottlenecks, ensuring 99.5% adherence to pipeline SLA across production workflows.
- Extracted operational data from Blue Yonder WMS using complex MOCA queries, facilitating analytics on inventory, order fulfillment, and shipment tracking.
- Translated business requirements into scalable data models and pipeline logic in collaboration with Philips international stakeholders across 3 time zones.
Data Engineer
NaDukan
01.2022 - 03.2023
- Built end-to-end ETL pipelines integrating 8+ insurance source systems into a centralized Azure data warehouse, supporting actuarial and claims analytics.
- Developed 50+ SQL stored procedures and PL/SQL transformation scripts processing structured policy and claims datasets, ensuring consistency across reporting layers.
- Designed data ingestion workflows for structured and semi-structured insurance data formats, reducing manual reconciliation effort by 40%.
- Delivered clean, reliable datasets to analytics teams supporting monthly business reporting for Aviva's UK operations.
- Troubleshot pipeline failures and data discrepancies, reducing average resolution time from 3 hours to under 45 minutes through root-cause documentation.
Education
B.Tech - Computer Science & Engineering
Indian Institute of Information Technology
Una, Himanchal Pradesh06-2022
Skills
- Data pipeline design
- Data architecture and ETL
- ETL processes
- Apache Spark and PySpark
- Python and Bash
- SQL and databases
- Git and GitHub
- Azure Cloud
- Git / GitHub
- Data modeling
- Big data
- Quality management
- Validation frameworks
Projects
- Spark Parameter Optimizer, PySpark, Azure Databricks, Python, Developed a Spark optimization framework that dynamically tunes executor memory, parallelism, and shuffle configurations based on real-time job metrics. Reduced pipeline compute costs by 25% and improved average job completion time by 30% across 10+ Databricks workloads.
- ATS Resume Scorer, React, Node.js, Anthropic API, Built a browser-based ATS scoring tool using the Claude API that analyses resumes against job descriptions, extracts keyword gaps, and provides actionable improvement suggestions. Used by 50+ job seekers during beta testing.
Certification
• Blue Yonder WMS Professional Certification (Course 8055 - Global WMS Functional), Blue Yonder Group, 02/01/26.
• Blue Yonder TMS Professional Certification, Blue Yonder Group, 2026.
• IBM Data Engineering Professional Certificate, IBM / Coursera, 2026.
• Google Data Analytics Professional Certificate, Google / Coursera, 2024.
• Google Cloud Platform: Big Data and Machine Learning Fundamentals, Google, 2024.
• Blue Yonder TMS Professional Certification, Blue Yonder Group, 2026.
• IBM Data Engineering Professional Certificate, IBM / Coursera, 2026.
• Google Data Analytics Professional Certificate, Google / Coursera, 2024.
• Google Cloud Platform: Big Data and Machine Learning Fundamentals, Google, 2024.
Timeline
Data Engineer - L2
Wipro Limited
04.2024 - Current
Data Engineer
NaDukan
01.2022 - 03.2023
B.Tech - Computer Science & Engineering
Indian Institute of Information Technology