
Priyank J.
About Me
With over five years of experience as a Data Engineer , Priyank specializes in building scalable, data-centric solutions using Python. He has extensive, hands-on experience designing and implementing robust ETL pipelines for data extraction, transformation, and real-time analytics , leveraging technologies like Apache Spark, Pandas, NumPy, and AWS Glue. His proficiency extends to processing both structured and unstructured data, demonstrated by his project work building data pipelines to convert PDFs into structured JSON formats. Priyank is highly skilled in developing scalable microservices and RESTful APIs with backend frameworks such as Django, Flask, and FastAPI. He has deep knowledge of relational databases including PostgreSQL, MySQL, and Oracle , and has integrated real-time data streaming systems using Kafka. An expert in cloud-native deployment, he is proficient with both AWS (S3, ECS, Lambda, RDS) and Azure and is skilled in automating CI/CD pipelines with tools like Docker, Jenkins, and GitHub Actions. Complementing his backend and data engineering capabilities, Priyank develops intuitive user interfaces with React.js and is an excellent communicator with a strong background in Agile/Scrum collaboration.


