01

Proven data expertise

Choose a team with hands-on experience in building modern data stacks — from ETL pipelines to real-time processing and data lake architectures.

02

Business-driven mindset

Your data engineering partner should understand your business goals and align technical choices with measurable outcomes — not just push trendy tools.

03

Scalability focus

Look for a solution architected to grow with your business, supporting more data, users, and complex analytics without constant rework.

04

Security and compliance

Trust only those who prioritize data privacy, access control, and compliance standards like GDPR or HIPAA — especially if you handle sensitive or regulated data.