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Prashant Atule

Prashant Atule

Data Engineer | Databricks | Azure Data Factory | Spark | PySpark | Python | Azure | SQL

Talent
PuneMember since April 7, 2026
Data EngineeringETL/ELTProblem SolvingPythonSQLPySparkSpark SQLAzure DatabricksApache AirflowMicrosoft AzureAzure Data FactoryADLS Gen2Delta LakeUnity CatalogDelta Live TablesJenkinsGitData WarehousingData ModelingData MigrationBanking and Finance
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Data EngineeringETL/ELTProblem SolvingPythonSQL

About

Accomplished Data Engineer with expertise in Databricks. Successfully led data modeling initiatives and optimized ETL processes, enhancing data quality and user experience. Adept at problem-solving, I consistently delivered on-time results, driving project success in the banking and finance domain.

Experience

Software Engineer at NCS Group — National Australia Bank (NAB) (2023-12 – 2026-01)

Led data modeling initiatives and optimized ETL processes for banking services system

  • Spearheaded data modeling efforts and developed comprehensive mapping sheets to guide seamless Source-to-Target data transitions.
  • Re-engineered ETL pipelines and legacy Hive/Spark jobs for improved efficiency using optimized PySpark and Python solutions.
  • Developed and orchestrated ETL workflows using Azure Data Factory ensuring seamless data migration.
  • Executed Data Manipulation Language (DML) operations within Azure Databricks workflows.
  • Implemented Databricks pipelines from Bronze to Gold layers using connectors and applied complex transformations and aggregations using Jenkins.
  • Resolved production issues by identifying and correcting data based on business rules.
  • Contributed to developing a robust banking services system tailored for NAB customers.

Software Engineer at NCS Group — IRIN (2022-04 – 2023-12)

Data analysis and quality management for income tax system development

  • Identified and corrected data based on project-specific business rules.
  • Used MS SQL Server for data analysis and provided on-demand data to development and testing teams.
  • Performed data profiling and executed data quality and reconciliation checks.
  • Contributed to building an advanced, user-friendly income tax system for Singapore taxpayers.

Associate Engineer at Tech Surya IT Solution (2021-03 – 2022-04)

Data integration and validation for Hadoop ecosystem

  • Imported data into Hive from multiple relational databases including Oracle, Sybase, AS400, and SQL Server using Sqoop.
  • Engaged with business analysts to understand requirements and translate them into technical designs.
  • Implemented data validation, data quality checks, and profiling processes.
  • Performed incremental data loads to populate Hive external tables and HDFS.

Education

Bachelor of Engineering in Electrical – Dr. Babasaheb Ambedkar Marathwada University (2014 – 2017)

Skills

Data EngineerDatabricksAzure Data FactorySparkPySparkPythonAzureSQL

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