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Alpesh Vadhiya
@alpeshvdy
Azure Data Engineer, ETL Pipelines, Databricks, SQL Expert
Kanada
Englisch
Über mich
Hi, I’m Alpesh, a Data Engineer based in Canada specializing in building reliable and scalable data solutions.
I help businesses turn raw data into clean, structured, and usable datasets for reporting and analytics.
I work with Azure Data Factory, Databricks, PySpark, and SQL to build efficient ETL pipelines and fix data issues.
✔ Build & optimize data pipelines
✔ Fix broken ETL workflows
✔ Improve SQL performance
✔ Clean and transform complex datasets
I focus on reliable, production-ready data solutions.
📩 Feel free to message me before placing an order.
Kompetenzen
Alpesh Vadhiya
offline •
Meine Dienstleistungen
Daten-ETLs
I will design and build scalable data pipelines and data engineering solutions
Portfolio
Arbeitserfahrung
Data Engineer
TD Insurance • Vollzeit
Sep 2025 - Present • 10 mos
Worked as a Data Engineer on enterprise data solutions for TD Insurance through a consulting project. • Built and optimized scalable ETL pipelines for insurance data processing • Worked with large datasets to support reporting and analytics use cases • Developed data transformation workflows using SQL and Azure Data tools • Improved data quality, consistency, and pipeline performance • Supported data integration across multiple systems and platforms • Collaborated on requirements gathering, data mapping, and solution design • Delivered reliable, production-ready data pipelines for business reporting
Data Engineer
Consulting • Vollzeit
Jun 2022 - Jul 2025 • 3 yrs 1 mo
Worked on enterprise-level data engineering projects for multiple clients, including Synpulse (Canada), focusing on cloud-based data solutions. • Designed and optimized ETL pipelines using Azure Data Factory and Databricks • Processed and transformed large datasets using PySpark and SQL • Improved performance and reliability of data pipelines • Worked on Azure-based cloud data platforms • Collaborated with teams to deliver scalable data solutions
ETL Developer
Tech Cloud • Vollzeit
Jul 2017 - Aug 2020 • 3 yrs 1 mo
Worked as a Data Engineer in a software development company, delivering end-to-end ETL pipeline solutions. • Designed and developed ETL pipelines from databases, APIs, and flat files • Performed data cleansing, transformation, and enrichment for analytics • Wrote optimized SQL queries and stored procedures for large datasets • Automated workflows using Airflow, SSIS, and Azure Data Factory • Debugged ETL failures and improved system reliability through monitoring • Used Git for version control and collaborated in code reviews • Worked with stakeholders for data mapping and integration requirements
