Turn Messy Data into
Business Value.
I build robust, scalable pipelines on Google Cloud that transform raw data into actionable insights. Stop guessing and start architecting.
INFO: Initializing Dataflow job... OK
INFO: Scaling cluster to 8 nodes...
INFO: Ingesting 50GB data stream...
>> Pipeline Active. Real-time processing started.
_
How I Can Help
Expert data engineering services designed to build a solid, scalable foundation for your business on Google Cloud.
Scalable Data Ingestion & Pipelines
Stop manually wrestling with CSVs and messy APIs. I build automated, reliable pipelines that deliver clean data when and where you need it.
- Automated ETL/ELT from APIs, databases, and files.
- Real-time (Dataflow/PubSub) & batch solutions.
- Built-in data quality checks and error handling.
Google Cloud Architecture & Consultation
Build a solid foundation on GCP that is secure, scalable, and cost-effective from day one. Don't just guess; architect with intent.
- Modern data architecture design (BigQuery, Cloud SQL).
- FinOps review to optimize and predict cloud costs.
- Security, IAM, and networking best practices.
DataOps & Infrastructure Automation
Treat your infrastructure like software. I help you move from fragile manual deployments to automated, secure, and repeatable workflows.
- Infrastructure as Code (IaC) using Terraform.
- CI/CD pipelines for data apps (Cloud Build/GitHub).
- Automated security scanning (CVEs) and monitoring.
Core Technologies
My primary toolkit for building high-performance data solutions.
BigQuery
Apache Beam
PySpark
Dask
Apache Airflow
Apache Iceberg
SQLAlchemy
Pydantic
Pandas
NumPy
Scikit-learn
Anaconda
PyTorch
XGBoost
Power BI
Looker Studio
PostgreSQL
MySQL
MSSQL
SQLite
MongoDB
Redis
Pub/Sub
Kafka
BigQuery
Apache Beam
PySpark
Dask
Apache Airflow
Apache Iceberg
SQLAlchemy
Pydantic
Pandas
NumPy
Scikit-learn
Anaconda
PyTorch
XGBoost
Power BI
Looker Studio
PostgreSQL
MySQL
MSSQL
SQLite
MongoDB
Redis
Pub/Sub
Kafka
Google Cloud
Compute Engine
GKE
Cloud Run
Cloud Functions
Cloud Storage
Bigtable
Cloud Spanner
Cloud SQL
Firebase
IAM
Cloud Logging
Cloud Networking
Python
Go
C#
Bash
VBA
SAS
SQL
GraphQL
FastAPI
Flask
Django
Terraform
gRPC
Celery
Google Cloud
Compute Engine
GKE
Cloud Run
Cloud Functions
Cloud Storage
Bigtable
Cloud Spanner
Cloud SQL
Firebase
IAM
Cloud Logging
Cloud Networking
Python
Go
C#
Bash
VBA
SAS
SQL
GraphQL
FastAPI
Flask
Django
Terraform
gRPC
Celery
Featured Projects
Click on a project to view details.
Market Data Pipeline
A resilient raw-ingestion foundation that captures, partitions, and validates high-frequency market events before silver and gold modeling.
dbt & BigQuery Market Analysis
A dbt transformation layer that cleans, deduplicates, and enriches raw bronze market events into normalised, tested silver tables in BigQuery.
Reporting & AI for Market Tickers
Looker Studio dashboards and Vertex AI classifications built on top of silver mart tables — OHLCV aggregations, crash frequency reporting, and ML-predicted crash probability scores.
Real-Time ‘Flash Crash’ Detector
A low-latency surveillance system to detect anomalous market volatility across thousands of tickers using stateful stream processing.
Serverless Cost Optimization
Migrating a legacy IaaS polling process to an event-driven, serverless architecture on GCP for significant cost reduction.
Hi, I'm Mike.
Google Certified Data Engineer
I’ve spent over a decade navigating the complex IT landscape of the financial industry. I get energized by tough data problems and enjoy turning that complexity into clear, actionable solutions.
I specialize in Google Cloud and modern data technologies like Airflow, Spark and Apache Beam. I enjoy working closely with clients to deliver solutions that are not only technologically sound but also drive real business value.
When I'm not architecting data solutions, you can find me exploring the Greater Toronto Area with my young family, always on the lookout for the next great park or local adventure.
Core Technical Skills
A summary of my technical expertise.
Data Engineering
I specialize in designing and building robust data pipelines. My expertise lies in efficiently extracting data from diverse sources, including relational databases and modern REST or GraphQL APIs, and reliably loading it into target destinations for analysis.
Data Analytics
Once data is clean and structured, I transform it into compelling dashboards and insightful reports. By visualizing key metrics, I empower businesses to make smarter, data-driven decisions, uncover opportunities, and track performance with clarity.
Cloud Cost Management
I analyze and optimize cloud infrastructure to deliver immediate and long-term cost savings. By implementing FinOps best practices, right-sizing resources, and re-architecting for serverless and spot instances, I ensure your cloud spend is directly tied to business value, not waste.
Get In Touch
Have a project in mind? I'd love to hear from you.
Need clarity on your cloud journey?
Let's schedule an initial discovery session to discuss your goals and how a custom data strategy can drive your business forward.
Book a Consultation