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Spoorthy Kushalnagar Ramesh

@spoorthykushalnagarr

Data Engineer at HexTechnologies who migrated 10+ TB of enterprise data and improved Snowflake and Redshift query efficiency by 35%.

United States

Message

At HexTechnologies, I design Apache Airflow pipelines for multi-terabyte financial datasets and led the migration of 10+ TB of enterprise data to cloud platforms. I also improved Snowflake and Amazon Redshift query efficiency by 35%.

Previously, I engineered healthcare data pipelines at Accenture, processing 2TB+ daily and improving data freshness through CDC and incremental processing. At CitiusTech, I supported ETL pipeline development, AWS cloud migrations, and automated data quality checks.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Hex Technologies

Sep 2025 - Present (1 year 2 months)

Designed and developed Apache Airflow-based ETL pipelines for multi-terabyte financial datasets. Led migration of 10+ TB of enterprise data to cloud, optimized Snowflake and Redshift workloads, and established data quality frameworks.

Airflow Apache Spark Kafka Snowflake Amazon Redshift ETL Data Quality Data Governance Cloud Migration Python SQL

Data Engineer

Accenture

Aug 2022 - Aug 2024 (2 years)

Engineered scalable ETL/ELT pipelines for healthcare datasets processing 2TB+ daily. Designed ADF pipelines with monitoring, implemented CDC and incremental processing, and optimized Snowflake workloads.

Azure Data Factory Databricks PySpark Snowflake DBT CDC ETL ELT Data Modeling SQL

Jr. Data Engineer

CitiusTech

Oct 2020 - Jul 2022 (1 year 9 months)

Supported development and maintenance of ETL pipelines for healthcare data. Developed SQL queries and transformations, supported cloud migration to AWS, and implemented data validation checks.

ETL SQL AWS Data Validation Data Quality Cloud Migration Python