Data Engineering
Data Engineering

Data Engineering

Data pipelines, data warehouses, advanced analytics and BI dashboards. We turn scattered data into actionable decisions.

Data that flows, decisions that arrive on time.

Capabilities

What Data Engineering includes

Every service is designed to deliver measurable value from the first sprint.

Data Pipelines

Robust ETL/ELT that ingests data from any source: APIs, databases, files, streams. Orchestrated, monitored and with automatic retry.

Data Warehouse & Lakehouse

Design and implementation of modern data stores. Dimensional modeling, partitioning, indexing and query optimization.

Analytics & BI

Executive dashboards, automated reporting and self-service analytics. Metabase, Looker, Superset or custom tools.

Real-Time Streaming

Real-time event processing with Kafka, Flink or Kinesis. Anomaly detection, alerts and automated actions on data in motion.

Data Quality & Governance

Automated data validation, lineage, data catalog and access policies. Reliable data so your models and decisions are reliable.

Reverse ETL

Data synchronization from warehouse to operational tools: CRM, email marketing, ad platforms. Up-to-date data where it's needed.

Tech stack

Technologies we master

We select the right tool for each problem. No dogma, no vendor lock-in.

Python Apache Airflow dbt Snowflake BigQuery PostgreSQL Kafka Spark Metabase Fivetran

Deliverables

What you receive

Tangible and measurable deliverables. Not pretty slides.

Documented and monitored data pipelines
Modeled and optimized data warehouse
Production BI dashboards
Data catalog and dictionary
Data quality alerts configured
Data lineage documentation

Related solutions

Platforms that complement this service

Our proprietary platforms amplify the results of every project.

Tell us about your tech challenge

30 minutes. No commitment. We diagnose your current situation and propose a concrete action plan.

Audit your data