Data Engineering
Build the data foundation.
Pipelines, warehouses, and real-time dashboards. The data infrastructure your ML models need to work.
2M+ events processed per day

What We Build
What you get
ETL/ELT Pipelines
Automated data extraction, transformation, and loading from APIs, databases, files, and streaming sources. Batch and real-time processing with fault tolerance.
Data Warehouses
Modern analytical storage on Redshift, Snowflake, or Delta Lake. Star schema design, partitioning strategies, and query optimization.
Real-Time Streaming
Event-driven architectures with Apache Kafka and Kinesis. Sub-second latency for live dashboards, alerting, and real-time ML inference.
Analytics Dashboards
Interactive BI dashboards using Metabase, Superset, Grafana, or custom React dashboards with real-time data feeds.
Data Quality & Governance
Automated validation, schema enforcement, lineage tracking, and anomaly detection using Great Expectations and dbt tests.
Geospatial Processing
Specialized pipelines for geographic data — tile generation, coordinate transforms, heatmaps, and spatial indexing with PostGIS and H3.
Built with
Shipped
Work in Data Engineering

Ethereum Breakout Prediction
Built a real-time crypto market intelligence platform that ingests and processes market data for short-term price prediction models.

FinTech Forecasting Platform
Automated ingestion and processing pipeline powering ML-driven financial forecasts.

ThrustIQ Analytics
Conversational BI platform turning natural language into real-time data queries.
How we deliver
Audit & Strategy
We assess your current data landscape, identify gaps, and design a target architecture aligned with your analytics and ML goals.
Pipeline Architecture
Modular, testable pipeline design using infrastructure as code. Every pipeline is version controlled, monitored, and documented.
Build & Migrate
Incremental build, test, and deploy. If you are migrating from legacy systems, we handle the transition with zero downtime.
Scale & Optimize
Query performance tuning, cost optimization, auto-scaling configurations, and proactive monitoring as you grow.
Next step
Let's build your data infrastructure.
Talk to our engineering team about pipelines, warehouses, and real-time analytics.

