Hi there! I'm Archit Jhingan, a passionate and experienced freelance data engineer specializing in Kubernetes, Airflow, Docker, Python, Pyspark, GCP, streaming pipelines, metadata management, and alerting.

With a strong background in data engineering, I excel at designing and implementing end-to-end data solutions that drive actionable insights. Leveraging my expertise in Kubernetes, Docker, and cloud platforms like GCP, I ensure scalable and efficient data processing.

My proficiency in Python and Pyspark enables me to develop robust data pipelines, perform complex data transformations, and create high-performance data processing workflows. I am experienced in leveraging Airflow for orchestration and scheduling of data workflows, ensuring reliable and automated data processing.

I am well-versed in metadata management, ensuring comprehensive data documentation and governance. Additionally, I implement alerting mechanisms to proactively monitor data pipelines, ensuring data integrity and timely issue resolution.

Throughout my career, I have successfully delivered projects across various industries, empowering organizations to make data-driven decisions. I pride myself on my attention to detail, problem-solving abilities, and commitment to delivering high-quality results within deadlines.

Let's collaborate to unlock the power of your data!