About

Aditya Kumar Panda is a highly skilled Data Engineer with a passion for improving the quality of life through innovative data solutions. Currently working with Philips Biotelemetry division, Aditya has built data pipelines that handle terabytes of data on AWS to bring diagnosis data from on-prem systems, enabling incremental data load feature in it. He has also enabled a lambda function using Python script to build a near real-time data pipeline. Aditya's expertise in Scala and Spark has allowed him to build data pipelines from scratch to bring raw data from various external sources to biotel data lake. He has worked closely with end-users to understand their needs and provide them with the necessary support. Additionally, he has worked on production bug fixes, orchestration, data validations, and data quality checks. Aditya has also contributed to building CI/CD pipelines and dockerizing applications. Aditya is proficient in a wide range of technologies, including AWS, Python, SQL, Hadoop, Scala, CI/CD, ETL, Big Data, Apache Hive, Databricks, AWS Glue, Apache Airflow, MySQL, Postgres, Docker, and Research Scientist. With almost two years of relevant experience, Aditya has proven himself to be a valuable asset to any team he works with. Aditya is a hardworking and dedicated individual who is always looking for new and innovative ways to solve complex data problems. His passion for data engineering and his commitment to improving the quality of life make him an invaluable member of any team.