Data Architect & ML Engineer | Building Scalable Pipelines, Business Intelligence, and Enterprise Ecosystems.
I design and engineer resilient, production-grade data ecosystems that bridge the gap between chaotic raw data lakes, advanced business intelligence, and predictive machine learning.
Many organizations struggle with slow data processing, fragile infrastructure, or poor data quality that breaks down in production. I solve this by engineering automated, test-driven backend systems that ensure your files are secure, structured, and instantly available for corporate leadership and data science teams.
TECHNICAL EXPERTISE:
• Data Engineering & Infrastructure: Designing robust ETL/ELT pipelines, secure cloud data warehousing (Snowflake), transformation workflows (dbt), and complex systems orchestration (Apache Airflow).
• Advanced Analytics & Data Science: Translating raw application states into structured dimensional models, behavioral analytics, and predictive machine learning workflows.
• Data Quality & Governance: Implementing automated validation, structural data auditing, and missing value imputation frameworks to ensure 100% data integrity and trustworthy reporting.
HOW I WORK:
I specialize in remote, independent, and asynchronous project execution. Utilizing an automation-first development workflow alongside rigorous Git version control and Agile principles, I ensure every line of code is clean, documented, and built to scale. I focus on delivering tangible business outcomes, establishing clear system architecture, and providing highly structured project updates.
Let's turn your data infrastructure into a highly optimized, competitive asset. Click 'Get a Quote' to schedule a consultation regarding your architecture goals.
Work Terms
• Engagement Models: Available for both milestone-based fixed-price contracts and hourly ongoing retainers.
• Project Kickoff: Work begins immediately once project scopes are documented and the initial milestone is fully funded via Guru SafePay.
• Milestones & Delivery: High-value tasks are broken down into transparent, test-driven phases with verifiable deliverables (such as direct repository entry, staging deployments, or schema documentation).
• Communication: Primarily asynchronous via the Guru Workroom to ensure all technical requirements, updates, and scope adjustments remain clearly documented for both parties.
• Availability: Flexible alignment with international time zones for scheduled architecture reviews or milestone alignment syncs.