Data Integration

Your Pipelines Break. Silently. You Find Out When Finance Does.

Fifteen SaaS systems, two databases, and the integration layer is mostly a spreadsheet somebody maintains manually. Every new tool becomes a three-month project. Every silent API failure lands a week later as a wrong number in a report. We build ingestion, change data capture, and transformation pipelines on Azure Data Factory, Fivetran, Airflow, and DBT with observability wired in from day one, so broken pipelines page an engineer before they page the CFO.

Where Data Integration Actually Break Down

You added Salesforce last year. It took three months to get it into the warehouse, and reports that use it still lag by a day.

Your finance team starts the week exporting CSVs from NetSuite, HubSpot, and Shopify and combining them manually. The numbers never quite match.

Pipelines break, and nobody knows until a report lands with wrong numbers on a Monday morning.

Your operational database changes every minute. Your warehouse refreshes overnight. Decisions get made on yesterday’s data.

Ingesting raw data is fine. Standardising it across fifteen source systems is where everything falls apart.

Where Are You Starting From?

Data stuck in 15+ SaaS and on-prem systems with no reliable way to combine it

Pipeline Engineering

Reports are always two days stale because someone is exporting CSVs manually

Automated Ingestion

Every new SaaS tool turns into a three-month integration project

SaaS Connector Framework

Need real-time sync from operational database to warehouse

Change Data Capture (CDC)

API integrations break silently and there’s no alerting

Pipeline Observability

Data arrives in the warehouse but transformations are a mess

DBT / Transformation Engineering

Migrating ERP or CRM and need parallel data sync during cutover

Migration Integration

Multi-entity or multi-region with different systems per geography

Enterprise Data Integration

What can I help with ?

What Changes After We Engage

Six scenario-specific outcomes buyer pictures the exact moment.

Broken pipelines page the owner, not the CFO

An API token expires overnight. Your on-call engineer sees the alert before 9am. The Monday revenue report lands on time with correct numbers.

Finance stops starting Monday with CSV exports

Finance opens the warehouse, pulls the weekly numbers, and gets back to analysis. The HubSpot-NetSuite-Shopify reconciliation stops being someone's job.

New SaaS tools onboard in days

Your RevOps team adds a new outreach tool on Monday. By Friday its data is in the warehouse with the same governance as everything else. No three-month project.

Operational data lands in minutes, not overnight

A customer cancels at 2pm. The churn dashboard reflects it by 2:05, not at 6am tomorrow. Sales and retention act on what just happened.

Transformations are readable by humans

A new analyst opens the DBT repo, finds the revenue model in plain English, and traces every column back to source. They ship their first change in their second week.

Your engineers stop firefighting

The engineering team stops getting Slack pings about broken exports. They close tickets instead of opening them. They build things your competitors don't have.

How We Engage

1

Inventory of every moving part

We inventory every source system, every pipeline, every manual export, and every downstream consumer, then score each for reliability, staleness, and business criticality before recommending what to build first.

2

Build with observability from day one

We build pipelines using Fivetran, Azure Data Factory, Airflow, or native CDC tools depending on what suits your sources, wire in automated quality tests and alerting, and run them in staging against real data before anything touches production.

3

Handover with runbooks and an owned SLA

You walk away with a documented pipeline codebase in your Git, runbooks for the top ten failure modes, a monitoring dashboard, and an optional support retainer for the changes every business makes every quarter.

Every Week You Run on Manual CSVs , Someone's Reconciling Numbers Instead of Analysing Them

Book a pipeline review and we’ll map every source, every pipeline, every manual export, and come back with an ordered plan to cut the fragile ones first.

Tools We Work With

Ingestion and ELT

Streaming and Change Data Capture

Transformation

Orchestration

Pipeline Observability and Quality

API and Custom Integration

Microsoft Partner Stack

Snowflake Partner Stack

What Clients Say About Working With Exillar

Umair handled my problem timely and efficiently. He is easy to collaborate with and I will be using him again.

Super good explanation, patience and a good sense of indagatory about the data, sources, etc. The solutions suggested were very safisfactory.

It is always a pleasure to work with Umair and his team. Rock start service!

Honestly, this has been an outstanding experience from start to finish. The team went far beyond my expectations — not only did they understand a very complex real-world operation, but they were also able to translate it into a functional and well-structured system. Their communication, patience, and willingness to adapt to my requirements were truly impressive. What I appreciated the most is how committed they were throughout the entire process. They were always available, proactive, and focused on delivering real value, not just completing the task. The system works great, and you can tell there is a lot of thought and effort behind it. This is not just a basic delivery — it’s a solid, professional solution. I would 100% recommend working with them, and I’m definitely looking forward to continuing this project long-term. Great job to the entire team.

Excellent work as always by Umair and team. Umair and team continue to provide excellent work product. Highly recommend, responsive and attention to detail.Umair + Exillar team continue to impress and innovate as business needs evolve

Thanks for the project. If you are an Executive, you need a PowerBI dashboard. great working with the team. Many ongoing projects with Umair. Great person to work with

These guys are true professionals, they helped me improve the idea of the work I wanted to develop, very kind and prepared. We will definitely do more work together. second work and I’m very statisfied.

Thanks for the exceptional work!

It was a great experience.

Working with Exillar has been amazing. Bhavisha has has gone above and beyond to get us what we need. Very pleased. ~Sherwin

Great working with Umair, fantastic communication and excellent delivery! Would surely recommend Umair to anyone for sure! THINGS THAT WENT WELL Politeness, Delivery time, Went above and beyond, Proactive communication, Level of cooperation, Language fluency, Deep understanding, Quick responsiveness, Attention to details, Code expertise, Bug free, Exceeded expectations, Documentation. Professionalism of work.

The guys were great to work with, very fast to reply and have a deep understanding of PowerBI. This become a learning experience for me as they shared best practices for PowerBI.

Industries We've Worked In

Got Questions?

Do you work with our existing tools, or will you replace everything?

We work with what you have whenever it’s fit for purpose. If you already run Fivetran or Azure Data Factory, we build on that. We only recommend replacing a tool when it’s actively the reason things break. We are not in the business of selling tool migrations that don’t need to happen.

How do you handle pipeline failures once you've handed over?

Runbooks, alerting, and a monitoring dashboard are part of the build. You get documented top-ten failure modes with recovery steps. If you want us on an SLA for P1 incidents, we offer a support retainer. If not, your team is set up to handle it themselves.

Can you integrate with legacy on-prem systems, not just SaaS tools?

Yes. Most of our engagements have at least one on-prem source SQL Server, Oracle, an internal ERP, flat files on a file share. We handle those the same way as cloud sources, through a secure gateway or dedicated agent, with full CDC where the source supports it.

How long does a typical engagement take?

First critical pipeline in production within six weeks for most mid-market engagements. Full integration layer across ten to twenty sources takes three to six months depending on source complexity and how much transformation logic needs rebuilding. We work in two-week increments, not big-bang releases.

Your Pipelines Break. Silently. You Find Out When Finance Does.

Where Data Integration Actually Break Down

Where Are You Starting From?

What Changes After We Engage

Broken pipelines page the owner, not the CFO

Finance stops starting Monday with CSV exports

New SaaS tools onboard in days

Operational data lands in minutes, not overnight

Transformations are readable by humans

Your engineers stop firefighting

How We Engage

1

2

3

Every Week You Run on Manual CSVs , Someone's Reconciling Numbers Instead of Analysing Them

Tools We Work With

What Clients Say About Working With Exillar

Travis Wayne Kelley

Héctor Raúl Rodríguez Díaz

Alex Bleicker

Andres Garrido Assad

Criag Peters

Louis Philippe

Jacopo

Hans Gildenhuys

Miguel

Sherwin Loudermilk

Wasim

Darcy

Industries We've Worked In

Retail & E-Commerce

Healthcare

Finance & Banking

Real Estate & Construction

IoT & Technology

Manufacturing & Industrial

Got Questions?

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