Archana Verma

Lead Software Engineer @ Innoplexus

About Archana Verma

Archana Verma is a Lead Software Engineer at Innoplexus, where she has worked since 2021. She has a background in software development and engineering, with degrees in Electrical, Electronics and Communications Engineering, and extensive experience in data engineering and analytics.

Current Role at Innoplexus

Archana Verma currently serves as a Lead Software Engineer at Innoplexus, a position she has held since 2021. In this role, she is responsible for overseeing software development projects and providing technical leadership. She is based in Pune, Maharashtra, India, and has been instrumental in enhancing the company's software engineering capabilities.

Previous Experience at Innoplexus

Prior to her current role, Archana Verma worked at Innoplexus Consulting Services Pvt Ltd as a Senior Software Engineer from 2019 to 2021. She also held the position of Software Developer at Innoplexus from 2015 to 2019. During her tenure, she contributed to various software development initiatives and provided cross-team support for analytics-related data needs.

Education and Technical Skills

Archana Verma has a strong educational background in software development and engineering. She earned a Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from Krishna Engineering College, completing her studies from 2008 to 2012. She also holds a Post Graduate Diploma in Advanced Computing (PG-DAC) from the Centre for Development of Advanced Computing, where she studied from 2014 to 2015. Additionally, she achieved a Diploma in .Net from NIIT in 2013.

Contributions to Data Engineering

In her role at Innoplexus, Archana Verma has been involved in significant projects related to data engineering. She played a key role in the implementation of Immutable Data Stores (IDS) as part of the data engineering process. Furthermore, she contributed to the development of automated data pipelines for the Analytic Data Store (ADS), enhancing data accessibility and usability for analytics purposes.

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