Senior Data Engineer | AWS | Azure | Databricks | PySpark | Snowflake

🚀 Open to New Opportunities | Senior Data Engineer | AWS | Azure | Databricks | PySpark | Snowflake

Hello LinkedIn Network,

I am currently exploring Senior Data Engineer opportunities across Canada and would greatly appreciate your support.

I bring 5+ years of experience designing and building scalable cloud-native data platforms, modern data lakehouse architectures, and high-performance ETL/ELT solutions across the insurance, banking, and financial services domains.

Core Expertise:
✅ Azure Data Factory (ADF)
✅ Azure Databricks
✅ Azure Synapse Analytics
✅ AWS Glue, EMR, Redshift, S3
✅ PySpark & Spark SQL
✅ Snowflake
✅ Apache Kafka & Kinesis
✅ Airflow & dbt
✅ Python & SQL
✅ Delta Lake & Lakehouse Architecture
✅ Data Modeling
✅ CI/CD, Terraform & DevOps
✅ Power BI & AWS QuickSight
✅ Data Governance (Purview, Collibra, Lake Formation)

I am passionate about building scalable, cloud-native data platforms, optimizing large-scale data pipelines, implementing real-time streaming solutions, and delivering analytics-ready datasets that drive business value.

📍 Location: Toronto, ON (Open to Remote, Hybrid, or On-site roles across Canada)

If your organization or clients are hiring for Senior Data Engineer, Cloud Data Engineer, Azure Data Engineer, or AWS Data Engineer positions, I would be grateful for a referral or an opportunity to connect.

Please feel free to message me directly or connect with me.
Thank you for your support!