Shreeharsha M Hegde

Business Analyst

Bengaluru, Karnataka, India1 yr 10 mos experience

Key Highlights

Expert in building scalable data pipelines.
Proficient in AWS services for data management.
Skilled in implementing medallion architecture.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and analytics.

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Skills

Core Skills

DatabricksPyspark

Other Skills

Databricks ProductsSQLETL developmentdata transformationmedallion architectureApache SparkAWS S3AWS GluePower BIPythonApplication Programming Interfaces (API)Amazon Web Services (AWS)AWS LambdaSnowflake CloudDatabase Administration

About

Data Engineer with strong hands-on experience in building end-to-end data pipelines using Databricks, PySpark, and SQL. Experienced in designing bronze–silver–gold data architectures, implementing Delta Lake for reliable data management, and applying Slowly Changing Dimensions (SCD Type 2) to enable historical data tracking. Skilled in building star schema data models, optimizing data transformations for performance, and orchestrating pipelines using Databricks Jobs to support scalable and analytics-ready data platforms. Familiar with AWS services such as S3,Glue and IAM for cloud-based data storage, access management, and secure integration with data platforms.

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Itc infotech

Associate Data Engineer

Aug 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

Data Engineer with experience in building end-to-end data pipelines using Databricks, PySpark, and SQL.
Skilled in ETL development, data transformation, and implementing medallion architecture for scalable
analytics.
Proficient in Apache Spark and AWS services such as S3 and Glue, with experience in data analysis
and visualization using Power BI and Python.

Databricks ProductsPySparkSQLETL developmentdata transformationmedallion architecture+6