Data Engineering & Optimization

Data Engineering & Optimization

Turn fragmented data into reliable pipelines, real-time analytics, and mathematical optimization models that improve scheduling, routing, and resource allocation.

Production-first architecture Measurable milestone delivery Senior engineering oversight

Clean data foundations and algorithmic decision systems

Analytics and AI are only as reliable as the data pipelines feeding them. We architect automated ETL/ELT infrastructure, data warehouses, and mathematical optimization engines that help leadership and operations teams make faster, measurably better decisions.

Production Data Pipelines (ETL / ELT)

Fault-tolerant batch and streaming ingestion pipelines built with Python, Airflow, dbt, and BigQuery/Snowflake/PostgreSQL with automated schema validation.

Mathematical Optimization & Solvers

Operations research models (linear/integer programming, constraint satisfaction, routing, and workforce scheduling) using OR-Tools, Gurobi, and custom heuristics.

Decision-Support & Analytics Platforms

Custom interactive dashboards, scenario-planning tools, and executive reporting applications tailored to operational KPIs.

Data Warehouse & Lakehouse Design

Centralizing siloed SaaS, ERP, and operational databases into governed, query-optimized analytical models on Google BigQuery, Snowflake, or PostgreSQL.

Vector Indexing & Search Infrastructure

High-speed semantic search, multi-modal embeddings, and hybrid keyword/vector indexing for large product catalogs and document repositories.

Data Quality & Governance

Automated anomaly checks, data lineage tracking, deduplication pipelines, and role-based access controls across sensitive datasets.

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