Shailesh Gaikwad
About Shailesh Gaikwad
Shailesh Gaikwad is a Technical Project Manager specializing in Data & Analytics at AFour Technologies, with extensive experience in data engineering and a strong educational background.
Title and Current Role
Shailesh Gaikwad is a Technical Project Manager specializing in Data & Analytics at AFour Technologies. He began his role in 2019 and is based in the Pune Area, India. His responsibilities include managing technical projects related to data and analytics, leading a team to deliver data-driven solutions for the company's clients.
Previous Experience at Mindtree
Before joining AFour Technologies, Shailesh Gaikwad worked at Mindtree as a Test Engineering Manager in Data Engineering. His tenure spanned from 2003 to 2019, totaling 16 years. During this period, he was responsible for leading test engineering projects, implementing data engineering strategies, and ensuring the quality and efficiency of data processes.
Educational Background and Certifications
Shailesh Gaikwad has a comprehensive educational background in engineering and advanced computing. He completed his Bachelor of Engineering (BE) at North Maharashtra University from 1997 to 2001. He later earned a Post Graduate Diploma in Advanced Computing from the Centre for Development of Advanced Computing in 2001-2002. Additionally, he obtained a C-PGDBA from Symbiosis Institute of Management Studies between 2007 and 2009.
Technical Expertise and Specializations
Shailesh Gaikwad's technical prowess includes the development of a platform using the Lakehouse Pattern, leveraging Azure Data Lake Store and Databricks Delta Table. He utilizes various Azure services including Data Bricks with Python, Scala, and SparkSQL as well as Azure Synapse SQL Pool. His skill set also extends to AWS technologies such as AWS Glue, AWS EMR, and Kinesis Data Streams for data warehousing solutions. Shailesh incorporates data governance solutions using Apache Atlas and Microsoft Azure Purview and is adept in data modeling and visualizations with tools like PowerBI, Google Data Studio, and Apache Superset.