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Sutej Sathe

Sutej Sathe

DATA ENGINEER | DATABASE ENGINEER | AWS | POSTGRESQL | PYSPARK | SQL | ETL

Talent
PuneMember since September 23, 2026
PythonSQLPL/pgSQLETL/ELTData ModelingData MigrationData CleansingData QualityIdentity ResolutionPySparkS3GlueRDSRedshiftLambdaCloudWatchIAMPostgreSQLAmazon RedshiftSchema DesignERDsFunctionsStored ProceduresTriggersViewsJSONBQuery OptimizationIndexingParquetORC
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PythonSQLPL/pgSQLETL/ELTData Modeling

About

Data Engineer and Database Engineer with 5+ years of experience spanning AWS-based ETL/ELT pipelines, data integration and migration, and PostgreSQL-centric database systems. Hands-on across pipeline development (Python, PySpark, AWS Glue, S3, Redshift, Lambda) and database engineering (PostgreSQL/PL-pgSQL schema design, stored procedures, functions, triggers, and query optimization). Experienced in canonical data modeling, data quality, identity resolution, and production database operations.

Experience

Data Engineer - Motiveminds Consulting Pvt Ltd

(2025-07)

  • WYNGS/e360: Owned database engineering and analytics development for the WYNGS/e360 platform, covering PostgreSQL data models, reporting, and financial workflows.
  • Worked on production database operations, optimization, migrations, access control, and reporting requirements.
  • ITR Scout Agent: Owned data engineering workstreams for the ITR Scout intelligent ticket-resolution platform, focusing on AWS-based data ingestion, migration, and canonical data processing.
  • Worked across AWS, PySpark, PostgreSQL, APIs, and AI/data-platform components to support the platform.

Data Engineer - C1 Technologies Limited

(2021-05 - 2025-05)

  • Built and optimized AWS-based ETL pipelines (S3, Glue, PySpark, Lambda, RDS, Redshift) across cloud data warehouse, pharmaceutical data migration, and healthcare/insurance analytics projects.
  • Designed and maintained data cleansing, validation, and transformation workflows for structured and unstructured multi-source data.
  • Automated ETL orchestration using Lambda triggers and Glue Workflows, reducing manual pipeline execution.
  • Optimized RDS PostgreSQL storage and database structures, and tuned Spark job performance for large-scale batch processing.

Education

B.E. - Electronics & Telecommunication - University of Pune (2016)

Skills

DATA ENGINEERDATABASE ENGINEERAWSPOSTGRESQLPYSPARKSQLETL

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