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03Career journey

Twelve years, four countries, one throughline.

From data analyst to senior manager across banking, betting, commerce, big tech, health tech and consulting. Every step added a layer to how I build.

  1. PwC Canada

    Present
    2026 - Present
    • Senior Manager, Cloud, Data & AI EngineeringMarch 2026 - Present · Edmonton, Alberta
    • Spearhead end-to-end cloud, data and AI strategy for enterprise clients, aligning architecture with business objectives.
    • Lead engineering teams designing AI/ML models and data pipelines on Azure, AWS and GCP.
    • Advise senior leadership and clients, turning cloud and data concepts into ROI-driven roadmaps.
    • Raise data maturity through governance frameworks, CI/CD and cost-effective cloud management, while mentoring engineers and architects.

  2. Life360

    2026
    • Principal Data EngineerJanuary 2026 - March 2026 · Edmonton, Alberta
    • Designed large-scale streaming pipelines for high-volume location and event data on Kinesis, Kafka and Spark-style architectures, with low latency and strong data-quality guarantees.
    • Owned incident investigation and SLA-driven monitoring to restore production data flows quickly.
    • Enforced data contracts with external partners and built Python and SQL streaming transformations into analytics-ready lakes.
    • Orchestrated Airflow DAGs covering ingestion, validation and reporting against defined SLAs.

  3. MedWatch Technologies

    2025 - 2026
    • Manager, Data EngineeringJanuary 2025 - February 2026 · Edmonton, Alberta
    • Set the architectural vision for a HIPAA-compliant GCP lakehouse unifying wearable biosensing telemetry with clinical EHR data.
    • Directed Pub/Sub and Dataflow streaming for multimodal biosignals with sub-second processing for real-time metabolic alerts.
    • Built the MLOps foundation for non-invasive glucose models: feature stores, quality checks and Vertex AI CI/CD.
    • Instituted zero-trust security and encryption across GCP, with HIPAA, GDPR and FDA-ready data provenance, while mentoring cross-functional engineering squads.

  4. Deloitte

    2025 - 2026
    • Senior Data EngineerNovember 2025 - February 2026 · Edmonton, Alberta
    • Architected GCP pipelines for a financial-services client using Dataflow and Pub/Sub for high-throughput real-time and batch processing.
    • Integrated Vertex AI for a centralized model registry and real-time prediction endpoints.
    • Built Cloud Build CI/CD for Cloud Functions, scheduled with Cloud Scheduler, and Cloud Composer DAGs for auditable orchestration.

  5. ATB Financial

    2025
    • Senior Data EngineerFebruary 2025 - August 2025 · Edmonton, Alberta
    • Built batch and streaming ETL on Apache Beam and Dataflow, landing Pub/Sub financial transactions in BigQuery for near real-time reporting.
    • Automated Dev-Test-Prod releases with Cloud Build, Terraform and GitHub CI/CD.
    • Optimized BigQuery schemas and queries, with Cloud Monitoring that held 99.9% data availability.
    • Shipped a cost-optimization pipeline over GCS and BigQuery that cut storage and analytics spend by more than 35%.

  6. Government of Alberta

    2024 - 2025
    • Software Data EngineerDecember 2024 - February 2025 · Edmonton, Alberta
    • Implemented schema validation, outlier detection and spatial joins that cut downstream reporting defects against Alberta's TIER framework.
    • Authored developer documentation and a TDD playbook adopted by three other government analytics teams, shortening analyst onboarding by 25%.

  7. Google

    2021 - 2024
    • Data Engineering LeadFebruary 2023 - December 2024 · Waterloo, Canada
    • Senior Data EngineerSeptember 2021 - January 2023 · Warsaw, Poland
    • Three years and four months at Google across Warsaw and Waterloo. Named Best Engineer, Warsaw in 2024, with more than 25 peer and leadership awards.
    • As Data Engineering Lead, directed senior engineers on GCP data platforms and oversaw multi-million-dollar cloud migrations for Fortune 500 customers into BigQuery and Cloud Storage lakehouses.
    • Designed Dataflow and Pub/Sub pipelines processing billions of daily events, and optimized BigQuery partitioning, clustering and slot management for latency and cost.
    • Standardized Terraform and Cloud Composer blueprints with data quality, observability and RBAC. Built a GCS and BigQuery inventory tool that helped decommission unused resources and cut GCP spend by 30% in three months.

  8. TradeDepot

    2021
    • Engineering Manager, Data AnalyticsJanuary 2021 - September 2021
    • Led AWS-native ETL on Glue, Lambda and Step Functions processing over 2 TB a day, lifting analytics availability by 40%.
    • Built S3 data lakes with Parquet, partitioning and Glue Data Catalog for Athena and Redshift Spectrum.
    • Automated ingestion on Airflow (MWAA), cutting manual intervention by 90%, with KMS, IAM RBAC and VPC peering across accounts.
    • Migrated transactional data into Redshift and shipped a Kinesis fraud-detection pipeline that reduced fraud losses by more than 40% in the first six months.

  9. BetKing

    2019 - 2021
    • Manager, Data EngineeringJuly 2020 - January 2021
    • Data EngineerAugust 2019 - May 2020 · London Area, United Kingdom
    • Directed Azure Data Factory and Synapse pipelines unifying SQL Server, Blob Storage and REST APIs for executive reporting.
    • Built ADLS Gen2 with Delta Lake, plus Event Hubs and Stream Analytics for sub-second operational alerting.
    • Migrated the estate from on-prem SQL Server to Azure Data Lake and Azure SQL DW, cutting downtime 85%, accelerating BI readiness 70% and reducing infrastructure cost 30%.
    • Automated ETL and ML delivery with Azure DevOps, Databricks autoscaling and PySpark streaming, with Airflow DAGs and Key Vault, Private Endpoints and RBAC.

  10. Sterling Bank Plc

    2017 - 2019
    • Data EngineerJuly 2018 - August 2019
    • Business Intelligence DeveloperJanuary 2018 - July 2018
    • Application Support EngineerFebruary 2017 - December 2017
    • Led the migration of the on-prem warehouse to Azure with Databricks and SSIS, improving analytics availability by 90% and enabling self-service reporting.
    • Helped the AML team build fraud and anti-money-laundering detection systems.
    • Managed as much as 5 TB of BI data and shipped company-wide intelligence-sharing dashboards on the Azure stack.
    • Supported internet and mobile banking platforms and more than doubled e-channel onboarding through improved reliability.

  11. CrispTV

    2014 - 2017
    • Data AnalystNovember 2014 - January 2017
    • Built SSIS packages loading flat files, XML and Oracle into Azure SQL Data Warehouse, with error handling and logging.
    • Designed Power BI models, visuals and stakeholder dashboards, translating reporting needs into technical specifications.