Navin Kumar

About Navin Kumar

I am a results-driven Data Engineer with 4+ years of experience in Python, SQL, ETL pipeline development, and DataStage (development & admin). I specialize in building scalable data solutions that support business decision-making and automation. Currently working at Cognizant, I’ve handled large volumes of data across cloud and on-prem environments, optimized workflows, and resolved critical production issues under tight SLAs.Alongside my professional work, I’m actively transitioning into the Machine Learning and AI space. I’ve been developing ML projects (shared on GitHub), gaining hands-on experience with Pandas, Scikit-learn, and model deployment pipelines. I’m deeply focused on bridging data engineering with applied ML to solve real-world problems. Core Competencies: • Python, SQL, Pandas, NumPy, • ETL & Data Pipelines (DataStage, Azure Data Factory) • Machine Learning & Deep Learning (Ongoing transition) • Data Cleaning, Feature Engineering, Model Building • Cloud: Azure | Git | Automation Scripts. What I’m Looking For:I’m seeking growth-oriented opportunities in Data Engineering, MLOps, or ML Engineering, where I can: • Contribute to impactful, data-driven products • Leverage my engineering background while applying ML models at scale • Work with modern cloud and AI/ML stacks in a collaborative teamLet’s connect if you’re looking for a proactive, fast-learning, and technically sound professional ready to take on new challenges.

Experience

1. Associate

   Cognizant

   Dec 2023 — Present

   Role: Data Engineer | Python | SQL | DataStage • Spearheaded the development and maintenance of scalable ETL pipelines using IBM DataStage, Python, and SQL across cloud environments. • Supported high-volume data operations for a global client in the real estate domain, improving SLA adherence and reducing ticket backlogs during critical data load cycles. • Collaborated with cross-functional teams to debug and optimize performance issues in DataStage jobs and SQL queries, improving system efficiency by 20%. • Actively contributed to ML pipeline integration and automation using Python and Pandas, laying the groundwork for transitioning into AI/ML projects. • Handled production support responsibilities including issue resolution, root cause analysis, and deployment coordination under tight timelines.

Education

• Haldia Institute of Technology

  B.tech

  2017 — 2021

• Haldia Institute of Technology

  Bachelor of Technology

• Kendriya Vidyalaya

  intermediate, Science stream with information technology

  2014 — 2016