Case studies
Project stories that expand the resume
These writeups give more context behind the systems I have worked on: the problem, my role, the technical approach, the constraints, and the outcomes.
Why these case studies matter
A resume can summarize tools and achievements, but it does not always show how decisions were made. These case studies are intended to show how I think through engineering problems, balance technical constraints with business needs, and deliver systems that teams can actually rely on.
Scaling a Multi-Country Data Platform
Snowflake, Airflow, dbt, Dataiku, Superset, monitoring, governance, and platform adoption.
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Large-Scale Data Migration into Fineract and Odoo
API-based migration, data validation, production readiness, business alignment, and operational constraints.
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Building Data Quality and Pipeline Observability
Soda checks, Airflow orchestration, Slack alerts, incident visibility, and stakeholder confidence.
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Analytics Enablement Through Trusted Reporting Layers
Semantic datasets, BI enablement, Superset/Power BI adoption, and trusted business metrics.
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Backend and API Engineering Projects
Backend APIs, integrations, cloud deployments, and full-stack/product-facing engineering experience.
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