DATA
Services / Big Data

BIG DATA
& ANALYTICS

Real-time pipelines, data lake architecture, and BI dashboards that turn raw data into clear, actionable intelligence at any scale.

Overview

DATA AT SCALE, INTELLIGENCE IN REAL TIME

When your Postgres queries start taking seconds, when your dashboards lag hours behind reality, when Excel can't hold your data anymore — that's when you need a proper data engineering strategy.

We design and build data systems that process millions of events in real time, store petabytes cost-efficiently, and surface insights that actually drive decisions — not just pretty charts that no one checks.

What We Offer
🌊
Real-time Pipelines

Kafka and Flink-based streaming pipelines that process millions of events per second with exactly-once delivery guarantees.

🏞️
Data Lake Architecture

Scalable data lake design on S3, GCS, or self-hosted MinIO — with Delta Lake, Iceberg, or Hudi for ACID compliance.

🏭
Data Warehouse

ClickHouse, BigQuery, or Redshift — optimized schemas, materialized views, and query patterns for analytics at speed.

🔄
ETL & dbt Pipelines

Modular, tested data transformation layers with dbt — version-controlled, documented, and observable SQL pipelines.

📊
BI Dashboards

Apache Superset, Metabase, or custom Vue.js dashboards — interactive, real-time, and designed for your specific KPIs.

🔭
Data Observability

Data quality monitoring, lineage tracking, anomaly detection, and alerting so you know when your data breaks before users do.

Case Study

DataPulse — Supply Chain Intelligence Platform

Real-time analytics platform processing 5M+ events/day for a logistics group — Kafka ingestion, ClickHouse storage, dbt transformations, and a custom Superset dashboard tracking inventory, orders, and demand forecasting.

5M+
Events/day
<2s
Query latency
60%
Cost vs previous stack
FAQ
When should I consider ClickHouse over PostgreSQL?+
When your analytical queries are taking more than 2–3 seconds on Postgres, or when you're doing aggregations across more than 10M rows regularly. ClickHouse is 100x faster for analytics workloads but is not a replacement for transactional OLTP use cases.
Do you work with cloud providers or on-premise?+
Both. We work with AWS, GCP, Azure, and self-hosted/bare-metal deployments. For cost-sensitive workloads, we often recommend self-hosted ClickHouse over managed cloud warehouses — the savings can be substantial at scale.
How do you handle data governance and compliance?+
We implement column-level access controls, data masking for PII, audit logging, and retention policies from the start. For GDPR/CCPA compliance, we build right-to-erasure workflows and data classification catalogues.
Ready to Build?

YOUR DATA PROJECT STARTS HERE

Stop waiting on slow queries. Let's architect a data stack that actually scales.

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