Nikita Raut

Data Engineer

Talent

PuneMember since September 11, 2026

SQLPythonPySparkPandasETL/ELTData PipelinesData ValidationDataprocBigQueryCloud ComposerCloud SQLCloud BuildAzure Data FactoryADLS Gen2Azure DatabricksAzure DevOpsOracleGitLookerPower BISAP BusinessObjects

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SQLPythonPySparkPandasETL/ELT

About

Data Engineer with 2 years of experience developing and optimizing scalable data pipelines for enterprise reporting in the banking domain. Strong in SQL, Python, and PySpark, with experience in ETL/ELT, data cleansing, validation, deduplication, joins, aggregations, and incremental processing. Professional experience with GCP including BigQuery, Dataproc, Cloud Storage, and Cloud Composer, along with hands-on Azure experience using Azure Data Factory, ADLS Gen2, and Azure Databricks.

Experience

Software Engineer at Deutsche Bank (2024-07 – 2026-07)

Developed and optimized SQL and PySpark data pipelines processing 50K+ records from 5+ source systems, performing cleansing, standardization, deduplication, and joins, reducing data processing time by approximately 25%.
Implemented Bronze, Silver, and Gold data pipelines on GCP using Cloud Storage, Dataproc, BigQuery, and Cloud Composer, supporting scheduled and incremental processing for downstream reporting.
Applied business rules and aggregations using BigQuery SQL and automated PySpark job deployments across Dev, Test, and Prod using Git and Cloud Build, reducing manual deployment effort by approximately 20%.
Developed and maintained curated BigQuery datasets used by Looker dashboards, enabling business stakeholders to analyze transaction and account-level metrics.

Software Engineer Intern at Deutsche Bank (2023-06 – 2023-07)

Automated data validation and reporting workflows using Python, Pandas, and Oracle SQL, and developed SAP BusinessObjects dashboards for business KPI monitoring.