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Hi, I'm Harshith Kompally, a data engineer based in Melbourne with 5+ years of experience building scalable, secure data solutions on Azure. I design and implement end-to-end data architectures, from ingestion to visualization, to help finance and business teams make informed decisions. I thrive in collaborative settings, enjoy solving complex data problems, and continually expand my skills in Spark, Python, SQL, and BI tools like Power BI and Tableau. I'm passionate about CI/CD for data workflows and delivering reliable analytics platforms.…Hi, I'm Harshith Kompally, a data engineer based in Melbourne with 5+ years of experience building scalable, secure data solutions on Azure. I design and implement end-to-end data architectures, from ingestion to visualization, to help finance and business teams make informed decisions. I thrive in collaborative settings, enjoy solving complex data problems, and continually expand my skills in Spark, Python, SQL, and BI tools like Power BI and Tableau. I'm passionate about CI/CD for data workflows and delivering reliable analytics platforms.

Harshith Kompally

Data Scientist, Full Stack Developer, Back-End Developer, +4

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Hi, I'm Harshith Kompally, a data engineer based in Melbourne with 5+ years of experience building scalable, secure data solutions on Azure. I design and implement end-to-end data architectures, from ingestion to visualization, to help finance and business teams make informed decisions. I thrive in collaborative settings, enjoy solving complex data problems, and continually expand my skills in Spark, Python, SQL, and BI tools like Power BI and Tableau. I'm passionate about CI/CD for data workflows and delivering reliable analytics platforms.…Hi, I'm Harshith Kompally, a data engineer based in Melbourne with 5+ years of experience building scalable, secure data solutions on Azure. I design and implement end-to-end data architectures, from ingestion to visualization, to help finance and business teams make informed decisions. I thrive in collaborative settings, enjoy solving complex data problems, and continually expand my skills in Spark, Python, SQL, and BI tools like Power BI and Tableau. I'm passionate about CI/CD for data workflows and delivering reliable analytics platforms.

Available to hire

Hi, I’m Harshith Kompally, a data engineer based in Melbourne with 5+ years of experience building scalable, secure data solutions on Azure. I design and implement end-to-end data architectures, from ingestion to visualization, to help finance and business teams make informed decisions.

I thrive in collaborative settings, enjoy solving complex data problems, and continually expand my skills in Spark, Python, SQL, and BI tools like Power BI and Tableau. I’m passionate about CI/CD for data workflows and delivering reliable analytics platforms.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Data Engineer at Syoft

December 1, 2023 - December 1, 2023

Designed and managed robust data infrastructure to support analytics, regulatory reporting, customer analytics, and ML use cases; built end-to-end batch and real-time data pipelines, integrated data from SQL Server, Azure SQL Database, and Azure SQL Data Warehouse; implemented ETL with SSIS; used Azure Data Lake and Data Factory; built dashboards with Tableau and Power BI; established DevOps pipelines.

Azure Data Engineer at Wipro

December 1, 2023 - November 10, 2025

Led data integration for Credit Suisse Finance Systems Initiative; designed and implemented scalable data pipelines using Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics; built streaming ETL with Spark Streaming; processed data with Databricks and Airflow; collaborated with stakeholders to satisfy business requirements and delivered dashboards in Power BI; implemented CI/CD for data pipelines.

ETL Developer at Aspire Systems

December 1, 2018 - December 1, 2018

Gathered requirements and designed ETL/ELT workflows for BI solutions; built data models using Star and Snowflake schemas; implemented data governance and data quality checks; developed data pipelines with ADF, Informatica, and SSIS; automated deployments via Azure DevOps; performed performance tuning and data migrations.