Harshith Ka
@harshithka
Azure Data Engineer delivering scalable cloud data platforms, ETL pipelines, and BI insights.
What I'm looking for
I am an Azure Data Engineer with 5+ years designing and delivering scalable, secure data solutions across Azure Data Factory, Synapse, Databricks, and Snowflake. I have led end-to-end data warehouse and ETL projects, built real-time Spark streaming pipelines, and produced actionable BI using Power BI and Tableau.
I collaborate with stakeholders to translate business requirements into dimensional models and automated CI/CD pipelines, and I focus on performance tuning, data governance, and reliable deployments to enable analytics, regulatory reporting, and machine learning use cases.
Experience
Work history, roles, and key accomplishments
Designed and implemented end-to-end Azure data solutions for Credit Suisse, building ETL/streaming pipelines and loading data into Azure Synapse to improve regulatory reporting and data reliability.
Data Engineer
Syoft
Jan 2022 - Dec 2023 (1 year 11 months)
Built scalable batch and real-time data pipelines and data models for DBS Bank, supporting analytics, regulatory reporting and ML use cases using Azure and big-data technologies.
ETL Developer
Aspire Systems
Jun 2017 - Dec 2018 (1 year 6 months)
Developed and optimized ETL/ELT workflows and dimensional data models for Proximus, delivering data marts and BI-ready datasets to improve reporting performance and data quality.
Education
Degrees, certifications, and relevant coursework
Central Queensland University
Master of Science, Information Technology
2022 - 2022
Master of Science in Information Technology awarded in November 2022 with coursework focused on information technology disciplines.
KL University
Bachelor of Science, Computer Science and Engineering
2013 - 2017
Bachelor of Science in Computer Science and Engineering completed in May 2017 with foundation coursework in computer science and engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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