Pingahla

Pingahla is a 100-person data engineering and analytics consultancy founded in 2019, serving Technology, E-commerce, and Financial Services clients across AWS, Azure, Databricks, Spark, Kafka, and Airflow. All four capability dimensions — platform migration, data modernization, AI/ML enablement, and business analytics — are rated Strong, which makes it well-suited for startups and mid-market companies building out a modern data stack without needing a large-firm overhead structure. The $50–100/hr rate and $25K+ minimum keep it accessible for growth-stage buyers.

Pingahla's verifiable profile: 100 engineers, a 2019 founding, and six-platform coverage (AWS, Azure, Databricks, Spark, Kafka, Airflow) rated Strong across all four capability areas.

Pingahla's $50-100/hr rate and $25K+ minimum project position it as a cost-conscious option for Data engineering and analytics for startups and mid-market. Buyers should weigh that price point against its high mid-market fit and strong platform migration, strong data modernization, strong AI and ML enablement.

Capability scoring flags Pingahla as strong in platform migration, strong in data modernization, strong in ai ml enablement , which helps distinguish it from firms with similar platform coverage.

Weighing Pingahla against other options? See where it sits among the top data engineering companies in our independent 2026 directory - profiled by rate, platform focus, and fit.