.db17813e.jpg)
Data & Analytics
Data Engineering
.db17813e.jpg)
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
All Services
Custom Software Development
Web Application Development
Mobile App Development
API Development
UI/UX Design
QA & Testing
Cloud Strategy
Cloud Migration
Cloud Architecture
Cloud Security
AI Strategy
Machine Learning
NLP Solutions
Computer Vision
Generative AI
Security Assessment
Managed Security
Application Security
Data Engineering
Business Intelligence
Big Data Solutions
Predictive Analytics
CI/CD Implementation
Infrastructure as Code
Container Orchestration
Tags
EnterpriseScalableAgileCloud-NativeSecureAPI-FirstMicroservicesDevOps
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.