17Enterprise

DataOps by Datalytyx

Better Data Faster | Based on Gitlab Community Edition

GitLab CEPythonDockerKubernetesSnowflakeTerraform
DataOps by Datalytyx — Better Data Faster | Based on Gitlab Community Edition
+Overview

Project overview

DataOps by Datalytyx is Better Data Faster | Based on Gitlab Community Edition. Extended Gitlab Community Edition Built with high standards for performance, security, and intuitive user experiences, the platform is engineered to support mission-critical workflows and seamless scale.

+Industries
EnterpriseEnterpriseDigital InnovationScalable Architecture
+Tech Stack
GitLab CEPythonDockerKubernetesSnowflakeTerraform
+Challenges

What made this project challenging

01

Bridging the gap between software engineering CI/CD best practices and enterprise data pipelines

02

Automating version control, testing, and deployment of data transformation scripts into Snowflake

03

Enforcing data governance, lineage tracking, and schema migration validation automatically

04

Scaling pipeline orchestration across multi-cloud Kubernetes clusters

+Our Solution

How we delivered

1

Extended GitLab Community Edition with custom DataOps pipeline runners and validation triggers

2

Engineered automated data quality testing framework checking row counts, nulls, and anomalies

3

Built Dockerized pipeline execution environments with parameterized Terraform configurations

4

Developed enterprise web dashboard displaying pipeline health, test coverage, and execution history

+Results

Key outcomes

01

Reduced data pipeline deployment cycle from weeks to minutes

02

Eliminated 90% of production data bugs via automated pre-commit tests

03

Adopted by FTSE 100 enterprise data teams

04

End-to-end auditability and data governance compliance

+Get in touch

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