Vikram Kumar

I’m a Data Engineer / Automation Specialist currently working on production-minded ETL/ELT automation to extract, validate, and transform structured and semi-structured data from APIs and digital sources. I focus on turning messy inputs into clean, analytics-ready datasets that stakeholders can trust.

In my freelance work, I’ve engineered ingestion pipelines that ensure schema compliance and delivery reliability for downstream analytics. I use structured validation and cleaning to improve data accuracy and reduce reporting and analytical workflow errors.

I also build scalable data collection and pipeline automation—like web scraping workflows using Requests, BeautifulSoup, and Selenium—to cut manual data collection effort significantly. Beyond building pipelines, I document data flows and transformation methodologies to keep operations reproducible and aligned with data governance best practices.

My projects reflect my interest in data platforms and monitoring at scale, including an end-to-end pipeline platform using Airflow, Spark, Kafka, and Snowflake across containerized services. I’m excited to contribute my data engineering, automation, and analytics-enabling mindset to production-grade data systems.