Hi, I'm Bita 👋

Data Engineer · Microsoft Stack · Big Data · Cloud-Native ETL
Building scalable, reliable data platforms with Azure, Fabric, and Spark.

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🎯 About

Data Engineer with 5+ years of experience building scalable, reliable cloud data platforms using Microsoft Azure, Fabric, and Apache Spark. I specialize in turning fragmented, inconsistent data into trustworthy systems where small data quality issues don't become business problems.

My focus:

• Cloud Data Platforms — Microsoft Azure, Fabric, medallion architecture, cloud-native design
• Big Data Processing — Apache Spark, distributed computing, performance optimization
• Analytics Engineering — Dimensional modeling, analytics-ready data warehouses, Power BI
• Data Quality & Reliability — Validation, monitoring, observability, production patterns

📍 Vancouver, Canada · 🇨🇦 Open to Data Engineer / Analytics Engineer roles · Public sector focus (TransLink, health authorities, government)

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🛠 Tech Stack

Cloud & Big Data Platforms

Data Warehousing & Analytics

Orchestration & Processing

Infrastructure & Tools

Architecture & Patterns
Medallion Architecture · Dimensional Modeling · Real-time Pipelines · Cloud-Native Design · Data Quality Validation · Observability

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📌 Featured Projects

🌐 Global Retail Lakehouse — Microsoft Fabric

Enterprise-scale medallion lakehouse on Microsoft Fabric. Multi-region retail data platform (27 countries, 10B+ annual transactions).

• Incremental processing, data quality validation, analytics-ready models
• Unified customer / product / sales dimensional models
• Power BI integration for real-time reporting

Stack: Microsoft Fabric · OneLake · PySpark · Power BI · Big Data at scale

🚆 TransLink GTFS Data Warehouse

End-to-end data warehouse on real TransLink GTFS transit data using medallion architecture.

• Bronze → Silver → Gold layers with embedded data-quality checks
• Handled domain edge cases (GTFS times beyond 24:00)
• Dimensional models for ridership analysis and operational insights
• Public sector project (TransLink / transit authority relevance)

Stack: Python · SQL Server · Medallion · Dimensional Modeling

⚙️ Cloud ETL Modernization — Airflow + AWS

Production-grade ETL pipeline demonstrating enterprise reliability patterns.

• Apache Airflow orchestration, Spark distributed processing, AWS infrastructure
• Idempotency, failure handling, comprehensive monitoring and observability
• Real-world migration case study: legacy batch jobs → cloud-native DAGs

Stack: Apache Airflow · Spark · AWS · Production Patterns

🔬 Databricks End-to-End Pipeline

Medallion-based lakehouse using Delta Lake + Unity Catalog.

• Governed data access, scalable PySpark transformations, reusable logic

Stack: Databricks · Delta Lake · Unity Catalog · PySpark

🏥 Healthcare FHIR Data Pipeline

Health data integration using FHIR standards.

• Multi-source healthcare data consolidation, compliance-focused design
• Public sector angle (health authority data solutions)

Stack: FHIR · Healthcare APIs · Python · Data Integration

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🎯 What I Focus On

✓ Medallion Architecture — Bronze/Silver/Gold layering, clean separation of concerns
✓ Big Data at Scale — PySpark, distributed processing, performance optimization
✓ Cloud-Native Platforms — Microsoft Azure, Fabric, modern data lakehouse design
✓ Data Quality — Validation gates, anomaly detection, observability
✓ Analytics Engineering — Dimensional models, fact/dimension tables, Power BI
✓ Production Reliability — Failure handling, retries, monitoring, operational maturity
✓ Public Sector Data — TransLink, healthcare, government-relevant skills

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📊 GitHub Stats

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🎓 Certifications & Learning

• ✅ Microsoft Certified: Azure Data Fundamentals (DP-900)
• 📘 In progress: Microsoft Fabric Data Engineer (DP-700)
• 📚 Building hands-on lakehouse projects on Microsoft Fabric & Databricks

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💼 Currently Looking For

Data Engineer / Analytics Engineer roles focused on:

• ✓ Microsoft Azure / Fabric cloud platforms
• ✓ Big data processing (Spark, distributed systems)
• ✓ Medallion / lakehouse architectures
• ✓ Analytics-ready data warehouse design
• ✓ Public sector (TransLink, BC Public Service, health authorities, municipalities)

📍 Vancouver, Canada · Open to on-site / hybrid / remote

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📫 Let's Connect

I'm open to collaborating on data platform projects, exploring new roles, or discussing pipelines and data architecture.

LinkedIn · Portfolio · Email

_{Build systems that remain reliable as complexity grows.}