Ashwin Khedkar

I am a highly skilled Data Engineer with over three years of experience designing and implementing scalable ETL pipelines, cloud data architectures, and real-time analytics solutions. My expertise spans Python, SQL, cloud platforms (Azure, AWS, GCP), and modern data stack technologies such as Apache Spark, Databricks, and Snowflake. I have a proven track record of delivering significant performance improvements and cost savings for enterprise environments, and I am passionate about leveraging data to drive business value and innovation. I am open to remote, hybrid, or onsite roles and eager to take on new challenges in the data and technology space.

I am a Data Engineer with over three years of hands-on experience in scalable ETL pipeline development, cloud data architecture, and real-time analytics solutions. My track record includes delivering significant performance improvements—up to 40%—and achieving 99.9% pipeline reliability across enterprise environments. I am skilled in Python, SQL, cloud platforms (Azure, AWS, GCP), and modern data stack technologies like Apache Spark, Databricks, and Snowflake. My work has resulted in annual operational cost savings of over £500K.

I have successfully architected enterprise data lakes, implemented real-time streaming platforms, and automated complex data workflows. My experience spans across industries, and I am always eager to leverage cutting-edge technologies to drive business value. I am open to remote, hybrid, or onsite roles and willing to relocate for the right opportunity.

I hold a Master of Science in Bioinformatics and Systems Biology from the University of Manchester (2023), with coursework in Data Mining, Machine Learning, Statistical Modeling, and Computational Biology. My undergraduate degree is a Bachelor of Technology in Biotechnology from Crescent University (2021), where I studied Research Methodology, Data Analysis, Quality Control, and Statistics. This academic background has provided me with a strong foundation in both data science and life sciences, enabling me to excel in data-driven and interdisciplinary environments.