Shobitha Kudva

Data Engineer

Bangalore Urban, Karnataka, India7 yrs 4 mos experience

Highly StableAI Enabled

Key Highlights

Over 7 years of experience in data engineering.
Expert in building scalable ETL pipelines and data products.
Proficient in visualizing data insights for business decisions.

Stackforce AI infers this person is a Data Engineer specializing in Big Data technologies and analytics.

Contact

Skills

Core Skills

Apache SparkData EngineeringData AnalysisData Migration

Other Skills

PySparkSpark sqlPython (Programming Language)AWS S3LookerPowerBISQLAWS Step FunctionsAWS GlueAWS CloudTrailAWS Identity and Access Management (AWS IAM)Prompt EngineeringGenerative AIAmazon BedrockAmazon EC2

About

Data Engineer with over 7 years of experience in various Projects involving development in Big data technologies like Apache Spark, Python, Spark SQL and visualisation tools like Looker and PowerBI. Experienced in interpreting and analysing data to drive business solutions by visualising dashboards and providing insights. Proficient in data analytics. Experienced working with Agile Scrum methodology.

Experience

7 yrs 4 mos

Total Experience

3 yrs 2 mos

Average Tenure

1 yr

Current Experience

Bmw techworks india

Senior Data Engineer

Jun 2025 – Present · 1 yr · Bengaluru · Hybrid

PySparkSpark sqlApache SparkData Engineering

Mphasis

Senior Data Engineer

Jun 2022 – May 2025 · 2 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

I worked in Hp Inc's Print Analytics department.
Analysed the printer telemetry data, provided insights into different printer features which helped in product development & guiding business decisions.
Took the complete ownership of the project as the only strategic analytics partner and did the end to end delivery.
Helped the business with cost optimisation.
Day to day tasks:
Consumed raw data (CSV, Json) from AWS S3, flattened the data and performed data cleaning and data quality checks and converted into structured format ready for analytics.
Built scalable and robust ETL pipeline
Created custom data products using Pyspark & Spark SQL by applying business logic on Databricks
Pushed to Data warehouses like Redshift and imported it into visualisation tools like Looker, PowerBI
Collaborated with engineering teams to come up with metrics for the dashboard
Presented the dashboard to director level and provided insights on customer's printer feature usage, which helped in business decisions.
Migrated dashboards from Tableau to PowerBI and PowerBI to Looker.