Data Services & Consulting
Dataansh is a specialist data consulting firm helping enterprises govern, engineer, and unlock full value from their data — from strategy through to production delivery.
Who We Are
Dataansh was founded by practitioners who spent over a decade inside Tier 1 financial institutions — not as consultants watching from the side, but as engineers building the systems that run them.
That inside perspective is our edge. We know what "production-ready" means in a regulated environment. We understand the weight of a compliance deadline, the complexity of sourcing data from 20+ upstream systems, and the difference between a solution that looks good on slides and one that actually works under pressure.
We bring that rigour to every client engagement — whether you're a fast-growing fintech building your first data platform, or an established enterprise untangling years of accumulated technical debt.
Retail banking, lending, capital markets, regulatory reporting — we speak the language and know the constraints deeply.
AWS, Azure, GCP — certified architects who deliver cloud-native solutions without vendor lock-in.
PySpark, Databricks, Airflow, dbt, Delta Lake — tools that power production data platforms today.
Pipelines built with audit trails, configurable rules engines, and submission-ready outputs for compliance.
What We Do
Every practice area is staffed by specialists — not generalists who picked up a certification. Deep, tested expertise from concept to production.
Establish trust in your data — across people, processes, and platforms. We design governance frameworks that scale: ownership, stewardship, policy enforcement, metadata cataloguing, and end-to-end lineage.
Bad data costs businesses millions. We embed quality as a first-class concern — automated profiling, validation rule engines, pipeline-level observability, and anomaly detection before issues reach downstream consumers.
Scalable, future-proof data estates designed around your business. From greenfield lakehouse design to legacy modernisation — we architect systems that grow with you, without expensive rework later.
Production-grade pipelines built by engineers who have run them in regulated environments. Reliable, observable, and maintainable data infrastructure — from source ingestion to serving layer.
Semantic models that make analytics fast, consistent, and trustworthy. We design data models from dimensional warehouses to unified metrics layers — so every team works from the same source of truth.
Data pipelines engineered for the precision that regulators demand. Built-in auditability, configurable rules engines, and submission-ready outputs — delivered by practitioners who have built these inside Tier 1 banks.
Technology Stack
We work with the modern data stack tools that are proven, scalable, and deployable in regulated environments — not whatever's trending on LinkedIn.
How We Work
Every Dataansh engagement follows a structured, repeatable model — from understanding your current state to ensuring your team owns the outcome long after we're done.
We begin with a deep-dive into your data landscape — existing systems, data flows, pain points, team structure, and strategic goals. No templates, no assumptions. We listen first.
We design the right solution for your context — platform choices, data patterns, pipeline architecture, and governance framework — anchored to business outcomes, not our preferred tools.
Production-grade delivery with rigorous testing, documentation, and observability built in from day one. We work in sprints with continuous visibility — no big-bang surprises at the end.
We hand over to your team with structured knowledge transfer — runbooks, training sessions, and documentation. We don't create dependency. We build your team's capability.
Why Dataansh
Our team has built data pipelines that run in production inside Tier 1 financial institutions. We know what it takes to deliver in regulated, high-stakes environments — because we've done it, repeatedly.
Banking and financial services data is different — in volume, sensitivity, regulatory burden, and criticality. We don't need a learning curve to understand your world. We've lived in it for over a decade.
We don't stop at strategy documents. Every recommendation we make, we can build. Strategy and delivery run by the same team — no handoff risk, no translation loss between consultants and engineers.
AWS, Azure, or GCP — we architect on the cloud that fits your context. No vendor allegiance, no hidden incentives. Just the right platform for your workload and constraints.
From a targeted architecture review to a full platform build — we scope engagements around your actual needs. No unnecessary overheads, no inflated team sizes, no scope creep by design.
We measure success by business outcomes — pipelines in production, regulatory submissions met on time, analytics teams unblocked. Not story points or deliverable counts.
Industries We Serve
Loan origination data, retail reporting pipelines, customer analytics, and regulatory submissions for retail banking operations at scale.
Trade data pipelines, risk reporting, P&L attribution data flows, and market data integration across asset classes.
Modern cloud data platforms for fast-growing fintechs — lending, payments, wealth management, and neo-banking data infrastructure.
Claims data pipelines, underwriting analytics infrastructure, regulatory reporting, and data quality for complex insurance data estates.
Engagement Models
A focused review of your existing data architecture — gaps, risks, and a clear improvement roadmap. Ideal for a second opinion or a confident starting point.
End-to-end delivery of a data platform, pipeline, or governance framework. From design through production handover — with your team involved throughout.
Senior data engineers or architects embedded in your team — working inside your delivery cycle, your tools, and your processes as an integrated member.
Get in Touch
No lengthy RFP. No generic pitch deck. Just a direct conversation about your data challenges — and whether we're the right team to help solve them.
Tell us what you're working on and we'll come back with an honest assessment of how we can help.