We build platforms that turn data into decisions.
DATA BITE is a specialist Cloud & Data Engineering consultancy helping BFSI, insurance, and enterprise clients build scalable, governed data platforms on AWS, GCP, Databricks, Azure, and Microsoft Fabric — so your data actually drives the business, not just reports.
We don't do everything. We do data engineering, cloud architecture, and AI-ready infrastructure — exceptionally well.
Design and build enterprise-grade Data Lakehouses using Medallion Architecture and Delta Lake on AWS, GCP, Databricks, or Microsoft Fabric. From raw ingestion to analytics-ready gold layer.
Robust batch and streaming data pipelines using PySpark, Apache Airflow, AWS Glue, and GCP Dataflow. Built to handle terabytes reliably, at scale, with zero data loss.
End-to-end legacy-to-cloud migration. We unify siloed systems, replace manual processes, and deliver governed, cloud-native data platforms that scale with your business.
Enterprise governance frameworks, metadata management, data lineage, and quality standards using Databricks Unity Catalog — ensuring audit readiness and BFSI regulatory compliance.
Prepare your data platform for AI and ML workloads. We build the pipelines, governance, and infrastructure AI needs — including agentic pipelines and LLM-orchestrated workflows.
Cut cloud waste without cutting capability. We audit your AWS/GCP/Azure spend, right-size infrastructure, implement auto-scaling, and deliver measurable cost savings — typically 20–30%.
We're not a 500-person IT firm that assigns your project to a team of graduates. Every DATA BITE engagement is delivered by a senior architect with 10+ years of real, hands-on experience in cloud and data engineering.
We specialize in BFSI, insurance, and financial analytics — which means we understand your data challenges, your regulatory constraints, and your stakeholder dynamics before we even write the first line of code.
Our approach: deep technical execution combined with business-aligned thinking. We don't just build platforms — we build platforms that drive decisions.
Every engagement is measured by business outcomes — cost savings, efficiency gains, time-to-insight — not just deliverables.
Insurance, banking, and financial analytics expertise. We understand underwriting, claims, regulatory reporting, and audit requirements.
We build with reusable architecture standards and IaC templates — cutting your future onboarding time by up to 40%.
Platforms built for today's workloads and tomorrow's AI. Microsoft Fabric, agentic pipelines, and LLM integration ready.
We learn your data challenges, current stack, and business goals. No slides — just a real conversation.
We audit your existing infrastructure and identify quick wins, gaps, and the right modernization path.
A clear, phased technical roadmap aligned with your business priorities and budget constraints.
Hands-on engineering — pipelines, architecture, governance frameworks — with weekly progress reviews.
We track outcomes, optimise costs, and hand over reusable frameworks your team owns going forward.
Reduction in manual reporting for an insurance client by architecting a unified governed data lake replacing 10+ legacy siloed systems.
Infrastructure cost savings delivered via FinOps — right-sizing, auto-scaling, and S3 intelligent tiering across cloud environments.
Faster project onboarding through reusable architecture standards, IaC templates, and onboarding playbooks adopted across teams.
Reduction in ETL processing time by redesigning batch and streaming pipelines on AWS Glue and Step Functions.
Legacy systems unified into a single governed data lake — enabling self-service analytics across underwriting, actuarial, and operations.
Databricks POC approved for full production rollout — PySpark transformation on S3, Airflow orchestration, Redshift integration.
Whether you're planning a data modernization, dealing with broken pipelines, evaluating a cloud migration, or want your data to actually support decisions — let's talk. No sales pitch. Just a real conversation where we listen first.
Send Us a Message →Not at all. We work with SMEs, mid-size companies, and enterprise clients. If you have a data problem worth solving, we're interested regardless of company size. Some of our most impactful work has been for businesses doing ₹5–50 Cr annually.
A discovery and architecture review takes 1–2 weeks. A focused build engagement (e.g. a pipeline or dashboard) is typically 3–6 weeks. Larger modernization projects run 2–4 months in phases, so you see results before the project ends.
We work on both fixed-scope and retainer models. A focused engagement starts from ₹1.5–3L. We're transparent about costs upfront — no surprise invoices. The discovery call is always free.
Most teams hire us for specific expertise they don't have in-house — architecture design, governance frameworks, or a specific cloud platform. We come in, build the foundation, document everything, and hand it over. Your team owns it completely afterwards.
Primarily remote — which keeps costs down for you. For clients in Delhi NCR, we're happy to come on-site for discovery, architecture workshops, and key milestones. We've also worked with clients across India and internationally.
That's exactly why you'd hire us. Messy, siloed, unstructured data is our starting point on almost every project. We don't need your data to be clean — we build the systems that make it clean and keep it that way.