Reza Rajan

Data Specialist

Founding the Ministry's first data capability, building its data platform from the ground up.

• Founded the Ministry’s first data capability, winning executive approval to automate reporting across all 31 ministry services by delivering a serverless Azure Databricks lakehouse proof of concept.
• Architected a serverless Azure lakehouse with Databricks, Lakebase Postgres, Trino, and dbt as the foundation for automating previously manual ministry reporting.
• Established data governance with full lineage and provenance coverage of ingested sources via Unity Catalog.

Co-Founder / Infrastructure Engineer

Self-hosted, independent infrastructure service provider for the Cardano blockchain network and associated ecosystem projects.

• Sustained 98% Cardano block-production uptime with a Python Kubernetes sidecar for replica failover.
• Cut infrastructure costs ~70% vs. cloud by deploying on-prem after a cost/reliability trade-off analysis.
• Cut rollouts from 3+ hours to <15 minutes with declarative Talos Linux IaC and GitHub Actions CI/CD.
• Reduced incident response time by ~60% with Prometheus and Grafana monitoring and alerting.
• Authored end-to-end system documentation and operational runbooks, ensuring knowledge continuity across the project.

Data Engineer

Automotive PaaS company; owned enterprise client reporting and drove the transition of the reporting warehouse to a modern lakehouse.

• Delivered automated reporting to 5,000+ dealerships for 3 enterprise clients through AWS Step Functions orchestration.
• Cut daily report generation query times by up to 50% through MariaDB stored procedure indexing.
• Initiated the lakehouse modernization after hitting MariaDB scalability limits, winning buildout approval with a PySpark/Redshift proof of concept that cut terabyte-scale data processing time by ~70%.
• Stood up the approved buildout with the Principal Engineer, delivering its architecture, roadmap, and first ingestion pipelines.
• Translated external stakeholders’ reporting requirements into technical specifications for the analytics team.
• Standardized Power BI dashboards by integrating operational and external data sources, reducing manual reporting workload.
• Collaborated with software engineers to improve data quality checks and streamline ETL processes feeding the warehouse.

Software Engineer

Startup building a house listing platform.

• Delivered the React front-end for the company’s house listing platform, implementing user authentication and SSO with Firebase.
• Improved query latency by optimizing the Firebase event data model to reduce redundancy.

Software Engineer

Canadian food-delivery platform startup.

• Launched the platform front-end on both web and Android by developing and deploying its React infrastructure.
• Reduced data redundancy and improved query latency by optimizing the Firebase document store data model.

Accreditation in CS (DSA)

Bsc. Mechanical Engineering

Secondary Education

Additional Scholarship (National) · Mathematics Award

Projects: Data Modelling with Apache Cassandra, Data Warehouse, Data Lakehouse, Data Pipelines

SQL, NoSQL, Python, AWS Redshift, AWS Glue, PySpark, Data Lakehouse, Apache Airflow, ETL/ELT

Projects: Simulation of an Autonomous Vehicle, Traffic Sign Classifier, Extended Kalman Filters, Path Planning, Lane Line Detection

Python, C++, TensorFlow, ROS, OpenCV

Projects: Exploratory Data Analysis, A/B Testing

Python, scikit-learn, Pandas, NumPy