Fredrick Mandela

Data Platforms · Backend Systems · Full-Stack Applications

I build reliable data products and software for operational teams.

I’m Fredrick Mandela, a senior data and full-stack engineer based in Nairobi, Kenya. I turn complex operational needs into dependable data platforms, backend services, analytics products, and applications. My experience spans hands-on engineering and technical leadership across multi-country environments.

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Fredrick Mandela

Senior data and full-stack engineer based in Nairobi, Kenya

Snowflake · Airflow · dbt · Python · SQL · APIs

Team leadership

Leadership scope

Data platforms

Primary focus

Full-stack engineering

Technical range

8+ years

Experience

Projects

Products built from practical problems

Selected work across financial data, analytics engineering, backend systems, full-stack development, and applied AI.

Featured · In development

Investar Companion

A financial-data platform that collects Kenyan unit-trust rates from provider websites and documents, then standardizes them into auditable, analysis-ready records in Supabase.

It combines provider-specific scrapers with AI-assisted extraction, preserves source evidence and confidence, tracks rate history and freshness, and exposes an API-ready market snapshot for fund comparison, advisor tools, and automated publishing.

PythonPlaywrightSupabasePostgreSQLAI extraction
GitHub

AI SQL Analyst

A local-first Streamlit analytics assistant that turns plain-English business questions into safe SQL, runs queries against sample data, and explains the results clearly.

The architecture is designed to extend to Snowflake or another production database.

PythonStreamlitSQLApplied AI
View demo GitHub
View all projects

Selected work

Featured case studies

Deeper writeups that expand the resume into context, technical decisions, constraints, and outcomes.

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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Strengths

Where I create value

Dependable data platforms

Decision-ready analytics products

Backend services and integrations

Data quality and governance

Technical leadership

Stakeholder-aligned execution