.svg)
.svg)
.svg)
.svg)
.svg)
.svg)
.svg)
Modern Data Engineering for Enterprise Transformation
Engineering modern data, analytics, and AI solutions for enterprise success.
Turn Data into a Strategic Business Asset
Geopits provides data engineering services that design, build, and manage the pipelines and platforms enterprises need for analytics and AI. Every engagement is built to unify data across systems, eliminate silos, and give teams a platform that scales with the volume and speed AI initiatives demand.
As a data engineering company, Geopits stays on after the pipeline goes live, managing governance, cost tuning, and performance monitoring on an ongoing basis. Engagements span cloud migrations, platform modernization, and the infrastructure work that AI and machine learning initiatives depend on, handled end to end rather than handed off as a roadmap.
Data Engineering Services We Deliver
Geopits engineers pipelines and integration systems that keep data usable across platforms, built to hold up at scale rather than break under load.
Strategic Advisory & Roadmap
Geopits assesses current data maturity, identifies gaps against business goals, and builds a phased roadmap for platform and pipeline modernization, sequenced by impact and risk.
Data Pipeline Development
Geopits designs and builds ingestion and transformation pipelines that move data reliably across sources, in batch or real time, built to handle enterprise-scale volume without breaking under load.
Data Warehousing & Lakehouse
Geopits designs and builds cloud data warehouses and lakehouse architectures that give teams a single, structured source for reporting, analytics, and AI, modeled around how the business actually queries and consumes data.
Data Transformation
Geopits cleans, structures, and enriches raw data into consistent, analytics- and AI-ready datasets, joining sources, standardizing formats, and applying business logic so the data is actually usable, not just moved. Transformation approaches are tailored to on-premises and cloud environments alike.
Cloud Cost Governance
Geopits monitors and optimizes cloud data spend across compute, storage, and pipeline orchestration, with budgeting, chargeback structures, and ongoing cost reviews built into the engagement.
Data Governance & Compliance
Geopits establishes data quality standards, cataloguing, lineage tracking, and access control frameworks so enterprise data stays trustworthy, auditable, and compliant as it scales.
Built on the Platforms Enterprises Already Trust
Geopits brings certified specialists and proven frameworks to every engagement, ensuring consistency, performance, and reliability whether you're managing databases, modernizing platforms, or building data-driven systems at scale.
Our Data Engineering Process, From Audit to AI-Ready
From landscape audit to a future-ready platform. Here's how Geopits engineers pipelines built for where you're headed, not where you've been.
Who We Are
“Geopits is not just a support vendor. We are a long-term data partner.”
We work alongside your team, not just as a vendor you call when things break, but as a partner invested in your success.
Happy Clients and counting
Databases being managed
Successful Database Migrations
DB Transactions per day
Why Teams Choose Geopits
Proactive support, predictable pricing, and certified expertise, no matter which platform your business runs on.
Certified across the stack already in use
Geopits engineers hold Databricks Certified Data Engineer, AWS Certified Data Engineer, and Microsoft Certified: Azure Data Engineer Associate credentials, with hands-on experience across GCP and open-source data tools.
Post Go-live support
Geopits stays on after a platform is built, managing governance, cost tuning, and performance monitoring long after the pipeline goes live.
.svg)
Cloud Cost Optimization
Geopits tracks and optimizes cloud spend on compute, storage, and data pipelines from the start of every engagement, with budgeting and cost controls built into the platform.
ISO-Certified Security and Compliance
Geopits operates under ISO 27001 and ISO 9001 certification and follows PCI DSS standards, giving enterprise compliance and security teams a documented, auditable process to rely on.
Proven Results at Scale
Geopits has modernized 140+ data platforms and manages pipelines processing 3M+ transactions daily, real numbers from real enterprise workloads.
Industries We Serve
Database requirements vary significantly by industry. The uptime threshold for a payment processing system is different from an edtech platform. The compliance surface for a healthcare application is different from a retail analytics stack. Our team has delivered managed DBA services across these verticals.
Banking, Financial Services & Insurance
Geopits manages, secures, and modernises the databases that power core banking, payments, claims, and fraud detection systems. Built for institutions where uptime, compliance and data accuracy are non-negotiable.
Know More
EduTech
Geopits manages, secures and modernises the databases behind LMS platforms, student records and learning analytics. Built for edtech companies that need to scale learner numbers without putting student data or privacy at risk.
Know More
Fintech
Geopits manages, secures, and scales the data infrastructure behind payments, lending, wallets, and embedded finance platforms. Built for fintech teams that need to move fast without putting transaction data or compliance at risk.
Know More
HealthCare
Geopits manages, secures and modernises the databases behind EHR systems, patient records and clinical data. Built for hospitals and health systems where data accuracy, uptime and patient privacy are non-negotiable.
Know More
Logistics
Geopits manages, secures and scales the databases behind booking engines, reservation systems, and loyalty programs. Built for logistics and hospitality platforms that need to handle peak-season traffic without booking data or payments at risk.
Know More
Manufacturing
AI-enabled data management driving efficiency by automating data pipelines, enhancing quality, and accelerating analytics.
Know More
.avif)
Case Studies
From monitoring to modernization, Geopits provides expert database management services that enhance performance, strengthen security, and reduce operational costs.
How Geopits Migrated a 1TB SQL Server Database to PostgreSQL With Zero Data Loss
India's first customized in-store solutions company helping FMCG brands and retailers track, measure, and optimize retail execution through field audits, compliance, and sales intelligence.
How Geopits helped Cyces cut data latency from 24 hours to under 1 minute with a real-time GCP pipeline
Engineering-first product studio specializing in data engineering and cloud operations for scaling tech companies.
.avif)
How Geopits helped a retail enterprise cut data processing time from 10 hours to 45 minutes with a unified Azure lakehouse
.svg)
.svg)
Related Resources
Frequently Asked Questions
What are Data Engineering Services?
Data engineering services cover everything that goes into building and running the pipelines and platforms that move data where it needs to go. That includes architecture design, pipeline development, governance, and keeping the platform tuned and cost-efficient once it's live. A good data engineering company treats this as an ongoing responsibility, not a one-time build.
How does data modernization support AI?
AI is only as good as the data feeding it. Data modernization is what makes that data clean, consistent, and actually accessible when models and analytics tools need it. Without a modernized, AI-ready data platform underneath, most AI initiatives stall out before they deliver anything useful.
Why should enterprises work with a data engineering consultancy?
Building this kind of expertise in-house takes time, specialized hiring, and a fair amount of trial and error. Working with experienced data engineering service providers shortens that path significantly, and brings architecture patterns and governance practices that have already been tested across other enterprise environments.
Which cloud platforms does Geopits support?
Geopits works across AWS, Microsoft Azure, Google Cloud Platform, and Databricks, along with open-source tools like Apache Spark, Kafka, and Airflow for teams running custom pipeline stacks. Cloud cost optimization is built into every engagement regardless of platform.
How long does a typical modernization project take?
The modernization timeline shifts depending on how many systems are involved and how much of the existing pipeline can be reused versus rebuilt, and governance and cost tuning typically continue well after launch. A typical modernization project from scratch takes 3 to 6 months to be completed.
Ready to Transform Your Data?
Geopits works alongside your team as a strategic partner, starting with stabilizing your current databases, then modernizing your data infrastructure, and ultimately helping you unlock the full potential of AI.
Happy Clients so far
Databases Managed
Successful Migrations
.svg)
.svg)
.svg)
.svg)