Available for select work · 2026

Building scalable lakehouse pipelines & AI-powered data products.

Senior Data Engineer with 5+ years specializing in Azure Databricks — Delta Lake, Delta Live Tables, Unity Catalog, and Genie AI — across insurance, digital media, and analytics.

Toronto, Ontario · Canada

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01 About

I build the data infrastructure behind modern analytics and AI — designing scalable lakehouse pipelines, governing data platforms, and shipping AI-powered products that turn raw data into decisions.

From insurance to digital media, I architect medallion lakehouses on Azure Databricks — Delta Lake, Unity Catalog, and config-driven PySpark frameworks built to scale, govern, and last. Currently based in Toronto, working at the intersection of data engineering and applied AI.

5+
Years in data engineering
10+
ETL programs delivered
40%
Faster pipeline runtimes
60%
Faster source onboarding
02 Selected Work
(01) Open Source · GitHub

Databricks AI Demo

A hands-on Databricks demo exploring AI-powered data workflows on the lakehouse.

Stars
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Forks
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Language
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Updated
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View repository →
03 Capabilities

Databricks

  • Delta Lake
  • Delta Live Tables
  • Unity Catalog
  • Workflows
  • Asset Bundles
  • Auto Loader
  • Genie AI · Lakebase

Languages

  • Python
  • PySpark
  • Spark SQL
  • SQL

Cloud

  • Azure ADLS · ADF
  • Azure DevOps
  • AWS S3
  • GCP BigQuery
  • Pub/Sub · Dataflow

Methods & Tools

  • Medallion Architecture
  • CI/CD
  • Data Governance
  • Performance Tuning
  • Airflow · Streamlit
  • GitHub · Jira
04 Experience
Apr 2024 — Present

Senior Data Engineer

Zurich Canada · Toronto, ON
  • Built an AI-powered insurance policy & claims app with Databricks Genie and Lakebase — natural-language querying for underwriters, cutting insight turnaround from days to seconds.
  • Architected medallion lakehouse pipelines (bronze → silver → gold) with Delta Lake, Unity Catalog governance, and Auto Loader.
  • Designed config-driven PySpark ETL across 10+ programs and modernized CI/CD with Asset Bundles and Azure DevOps — ~40% faster Spark jobs, ~60% faster onboarding.
01
Aug 2021 — Apr 2024

Data Engineer

GroupM · Toronto, ON
  • Built Databricks and PySpark pipelines on GCP integrating Pub/Sub, Dataflow, BigQuery, and Bigtable — improving reporting performance by 60%.
  • Delivered multi-cloud solutions across GCP, Azure, and AWS; led data governance for enterprise data warehousing.
02
Jan 2021 — Jul 2021

Data Engineer

Clue · Toronto, ON
  • Designed graph data models with Neo4j and Cypher; built ETL pipelines on AWS (S3, Athena, SageMaker, DataBrew) for digital marketing analytics.
03
Feb 2020 — Dec 2020

Data Analyst

Clue · Toronto, ON
  • Built Azure analytics services ingesting Salesforce data for media campaign reporting with near-zero downtime.
04
May 2019 — Feb 2020

Digital Analyst

Mindshare · Toronto, ON
  • Architected Datorama solutions for Nestlé and CPG clients, improving campaign ROI measurement.
05
05 Credentials
Education

M.Eng, Computer Engineering

University of Ottawa

Education

B.E, Computer Science

Visvesvaraya Technological University

Certification

Databricks Certified Data Engineer Professional

Databricks · 2024 – 2026

Certification

AWS Certified Cloud Practitioner

Amazon Web Services