Hitesh ..
About Hitesh ..
Hitesh is a Senior Data Engineer with extensive experience in architecting and delivering large-scale Big Data solutions using AWS technologies. He has worked in various roles across multiple companies since 2010 and holds a B.Tech in IT from Ch.Brahm Prakash Government Engineering College.
Work at Confidential
Hitesh has been employed at Confidential as a Senior Data Engineer since 2017. In this role, he is responsible for architecting and delivering large-scale Big Data product solutions utilizing AWS Big Data technologies. His work involves implementing ETL processes using AWS Data Pipeline and EMR, and transforming raw data from Data Lake into processed data for data warehouse and data discovery requirements. Hitesh regularly presents architecture and design decisions to higher management, ensuring alignment with organizational goals.
Previous Experience
Before joining Confidential, Hitesh held several positions in the data engineering and software development field. He worked at Deloitte as a Consultant, where he contributed to client projects, including a year-long engagement with VMWare. Prior to that, he served as a Software Engineer at Humana, focusing on payroll solutions. His career began with a role as a Trainee Engineer at Nibiru Solutions and included a Software Developer Internship at Permeate 360. His experience spans various technologies and methodologies in data management.
Education and Expertise
Hitesh earned a Bachelor of Technology degree in Information Technology from Ch. Brahm Prakash Government Engineering College, affiliated with GGSIPU, completing his studies from 2007 to 2011. He also attended St. Marks Senior Secondary Public School, where he completed his 12th grade with a focus on Non-Medical subjects. His educational background provides a solid foundation for his expertise in data engineering, particularly in architecting solutions using AWS Big Data tools.
Technical Skills and Tools
Hitesh possesses extensive technical skills in Big Data technologies, particularly those offered by AWS. He utilizes tools such as S3, EMR, Spark, Redshift, and Aurora in his work. Additionally, he employs SnapLogic, a web-based ETL tool, for data acquisition from multiple source systems into a Data Lake. His expertise includes re-architecting ETL processes and database designs into dimensional models, integrating silo databases into a common data warehouse, and designing processes for data transformation.
Professional Development
Throughout his career, Hitesh has engaged in various roles that have contributed to his professional development in data engineering. His positions have involved significant responsibilities, such as designing and implementing data solutions, presenting to management, and working collaboratively with teams. His experience across different companies and projects has enhanced his skills in data architecture, ETL processes, and database management.