Heena Sharma
About Heena Sharma
Heena Sharma is a Data Engineer at Slide in the United States, with extensive experience in various databases and programming languages. She has previously worked at Teradata and holds multiple certifications, including Microsoft Azure DP-900.
Work at Slide
Heena Sharma has been employed as a Data Engineer at Slide since 2023. In this role, she contributes to data management and engineering projects, leveraging her expertise in various database technologies. Her position at Slide marks a significant step in her career, allowing her to apply her skills in a dynamic work environment.
Previous Experience at Teradata
Before joining Slide, Heena Sharma worked at Teradata in multiple capacities. She served as a Data Architect/Analyst for 7 months in 2020, where she focused on data architecture and analysis. Additionally, she held roles as a Technical Associate Consultant (ETL Developer) from 2017 to 2019 and as a Jr. Technical Consultant from 2015 to 2017, accumulating valuable experience in data engineering and analytics.
Education and Expertise
Heena Sharma holds a Bachelor of Engineering in Electrical, Electronics, and Communications Engineering from St. Francis Institute of Technology. She also earned a Master's degree in Information Systems from The University of Texas at Arlington. Her educational background complements her technical skills, which include proficiency in databases like Teradata, SQLServer, and MongoDB, as well as programming languages such as SQL and Python.
Certifications and Awards
Heena Sharma is a certified Microsoft Azure DP-900 professional and a Teradata 14 Certified Professional. Her recognition includes receiving the Employee of the Quarter award at Teradata in Q1 2017, highlighting her contributions and performance during her tenure.
Technical Skills and Knowledge
Heena Sharma possesses extensive technical skills in data engineering and analytics. She is experienced with Big Data technologies such as Hadoop and Hive, and proficient in using ETL and BI tools including Informatica, Tableau, and Power BI. Her knowledge extends to data science techniques and cloud computing platforms like MS Azure and AWS.