Rohit Singh Malik — Data Engineer

Seasoned Data Engineer with 5+ years of experience crafting scalable data solutions using AWS, Azure, Databricks, Python, Spark, Delta Lake, Airflow, Docker, and Kinesis. I specialize in designing and optimizing data pipelines, migrating data, and boosting performance while collaborating with cross-functional teams to ensure data reliability and business value. A continuous learner, I stay current with emerging tech and trends to deliver impactful results. Currently, I’m a Data Engineer at NAB, contributing to a GenAI chatbot project that assists bankers with queries like policies and transactions. I’ve implemented cache management using Azure Databricks and Blob Storage, optimizing ingested data to cut costs by 20% and reduce response times from 5 to under 2 seconds. This has streamlined our data pipeline and enhanced real-time data access. Previously, I worked with a leading US-based MNC in healthcare and pharmaceuticals, where I built procurement process management solutions. Using Azure Data Factory, ADLS, Databricks, Python, and Spark Scala APIs, I processed 50+ TB of data with a medallion architecture, improving query performance by 30% and enabling enterprise analytics. Beyond full-time roles, I freelanced for a year, building Python web scrapers (Django, Flask), mining 100K+ tweets for sentiment analysis, and transforming data into pandas DataFrames for insights. As a student intern, I honed my skills on machine learning projects, exploring cutting-edge tech. I’m passionate about turning raw data into actionable outcomes—whether it’s scraping Craigslist, managing big data pipelines, or optimizing AI-driven systems. Let’s connect to talk data engineering, pipelines, or how I can contribute to your next project!

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Healthcare data solutions.

Location: Delhi, India

Experience: 5 yrs 7 mos