Data & Analytics
Data & Analytics

Data Engineering

Data Engineering

Data Engineering

Build the foundation for data-driven decisions. We design and implement robust data infrastructure.

We build modern data platforms using cloud-native technologies and best practices.

Key Benefits

Modern architecture
ETL/ELT pipelines
Real-time streaming
Data lake and warehouse
Data quality management
Schema evolution
Cost-optimized storage
Self-service access

What We Deliver

01

Data Architecture

Modern lakehouse and mesh patterns.

02

Pipeline Development

ETL/ELT with Airflow, dbt, and Spark.

03

Stream Processing

Real-time with Kafka, Kinesis, and Flink.

04

Data Warehouse

Snowflake, BigQuery, Redshift, Databricks.

05

Data Quality

Automated validation and monitoring.

06

Data Governance

Cataloging, lineage, and access control.

Why Choose TechnischWerk?

  • 23+ years of enterprise experience
  • Dedicated team aligned with your timezone
  • Transparent agile development process
  • Post-launch support and maintenance
23+
Years of Excellence
Our Methodology

Our Data Engineering Process

Systematic approach to reliable data infrastructure.

01

Discovery & Planning

We begin with in-depth consultations to understand your business goals, technical requirements, and success criteria. Our team conducts stakeholder interviews and market analysis.

Key Deliverables

Requirements DocumentTechnical SpecificationProject Roadmap
Phase 1 of 5
Discovery & Planning
FAQ

Frequently Asked Questions

Get answers to common questions about our data engineering services.

50+
Projects
98%
On-Time
4.9
Rating
Snowflake, Databricks, BigQuery, Redshift, Synapse, Spark, Kafka, Airflow.