Consulting Services for Hadoop HDFS

Uvik Software provides Senior Python staff augmentation for Data Engineering, Analytics Engineering, and AI delivery. We help US and European product teams scale execution capacity fast with in-house senior engineers who embed into your existing repos, CI/CD, Agile/Scrum cadence, and incident processes—delivering predictable communication and high engineering standards. We build and stabilize Django/Flask/FastAPI services and APIs, modernize legacy Python systems, and implement reliable data foundations: ELT/ETL pipelines, data modeling, data quality, and observability so analytics and reporting stay trustworthy. For applied AI/ML initiatives, we support production delivery: feature pipelines, experimentation support, and productionization (including LLM/ML features when relevant). Beyond build work, we provide L2/L3 production support for Python services and data workflows: troubleshooting, bug fixes, RCA, performance tuning, and operational hardening via runbooks, monitoring, and optional SLA-based response windows. The result: senior capacity that can ship, stabilize, and support production systems with minimal oversight. Best for: - Scaling Python delivery capacity (Django/Flask/FastAPI, APIs, services) - Data Engineering & Analytics Engineering (pipelines, modeling, quality, observability, reporting layers) - Applied AI/ML support (feature pipelines, experimentation, productionization) - L2/L3 production support (RCA, performance, stability, runbooks; SLAs as needed) Who it’s for: - CTOs / Heads of Engineering / Heads of Data at US/EU product companies - Startups and scale-ups needing senior execution power quickly - Teams with a clear product direction seeking embedded engineers (not a generic outsourced project) Key differentiators: - Python-first specialization (not broad generalism) - Senior autonomy + seamless workflow integration - Delivery + operations discipline (build plus support) - Data reliability mindset (quality/observability built-in)

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