Data Engineering Services for Startups

Techwards delivers end-to-end data engineering services for startups and growing businesses; from data architecture and ETL pipeline development through to Databricks consulting, lakehouse implementation, and analytics infrastructure.

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Your Data Is an Asset. Most Startups Can’t Access It.

Siloed Data

Raw data scattered across your CRM, product database, and third-party tools with no unified layer. Your team spends more time wrangling data than using it to make decisions.

Siloed Data

Broken Pipelines

Brittle ETL jobs fail silently. By the time someone catches the issue, dashboards have been showing stale numbers for days and decisions have already been made on bad data.

Broken Pipelines

Wasted Databricks Spend

Most startups adopt Databricks without a proper implementation strategy. The result is high platform spend, underutilised features, and a team that can’t extract value from the investment.

Wasted Databricks Spend

Data Engineering Process

Assessment Icon

Step 1: Assessment

We audit your existing data sources, infrastructure, and business requirements to understand where the gaps are and where the highest-value opportunities lie. The output is a tailored Data Architecture Blueprint with a clear implementation roadmap.
Deliverable: Data Architecture Blueprint + Roadmap
Timeline: 1–2 weeks

Implementation Icon

Step 2: Implementation

Our engineers build and integrate your data infrastructure; whether that's ETL pipelines, a lakehouse migration, a Databricks environment, or an analytics layer with structured testing and full documentation at every stage.
Deliverable: Production-ready data infrastructure
Timeline: 4–12 weeks

Support Icon

Step 3: Support

Bi-weekly check-ins, pipeline monitoring, performance optimization, and team training until your team is fully confident operating the system independently.
Deliverable: Optimized system + Team training
Timeline: 90 days

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What Our Data Engineering
Services Deliver

Good data infrastructure changes how your entire business operates. Here’s what you get when you build it properly.

One Source of Truth

All your data sources unified into a single reliable layer. Every team works from the same numbers, no more conflicting reports.

One Source of Truth

Pipelines That Don't Break

Production-grade pipelines with monitoring, alerting, and automatic failure recovery. Your team knows about issues before your dashboards do.

Pipelines That Don't Break

Faster Data Queries

Query times reduced from minutes to seconds across your entire data layer. Analysts spend their time on insights, not waiting on slow or broken exports.

Faster Data Queries

Databricks Done Right

A properly implemented Databricks environment means you use what you’re paying for. Most clients see measurable cost reduction within the first 90 days.

Databricks Done Right

Infrastructure That Scales

Your data layer built to handle 10x current volume without a rebuild. No emergency migrations when growth arrives.

Infrastructure That Scales

Full Team Handoff

Complete documentation and hands-on training so your team owns the system after delivery. No ongoing dependency on us, no vendor lock-in.

Full Team Handoff

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Frequently Asked Questions

What is data engineering and why does it matter for startups?
Data engineering is the practice of building systems that collect, store, transform, and make data accessible for analytics and business intelligence. For startups it matters because raw data sitting in your product database, CRM, and marketing tools has no value until it's structured, clean, and queryable. A solid data engineering foundation lets your team make decisions on real evidence rather than gut feel — and it's the prerequisite for any serious AI or ML work down the line.
What data engineering services does Techwards offer?
Techwards offers end-to-end data engineering services for startups including Databricks consulting and implementation, data lakehouse architecture, ETL and ELT pipeline development, data warehouse migration, real-time stream processing using Apache Spark, and analytics infrastructure setup on Tableau, Power BI, and Sigma. Techwards is a certified Databricks Marketplace partner.
How long does a data engineering project take?
Most data engineering engagements at Techwards run between 4 and 12 weeks from assessment to production deployment. A focused ETL pipeline project can be delivered in 3 to 4 weeks. A full lakehouse implementation with multiple source integrations typically takes 8 to 12 weeks. Every engagement starts with a 1 to 2 week assessment that produces a detailed roadmap before any build begins.
What is a data lakehouse and does my startup need one?
A data lakehouse is a modern architecture that combines the low-cost flexible storage of a data lake with the reliability and query performance of a data warehouse — built on platforms like Databricks or Snowflake. If your team is dealing with data silos, slow reporting, or you're planning to build ML models on top of your data, a lakehouse is worth evaluating. Techwards assesses your current setup during the discovery phase and recommends the right architecture for your stage and data volume.
When does a startup need a data engineer?
You need a data engineer when your team is spending significant time manually moving or cleaning data, when your analytics pipelines are breaking regularly, when you're hiring a data scientist and there's no clean data for them to work with, or when you've adopted a platform like Databricks or Snowflake and aren't sure you're using it correctly. These are signs your data infrastructure needs proper engineering before it becomes a blocker.
Is Techwards a certified Databricks partner?
Yes. Techwards is a certified Databricks Marketplace partner and has delivered Databricks implementations for clients ranging from early-stage startups to Fortune 500 companies including Broadcom and Intel — from initial environment setup through to full production lakehouse migration and ongoing optimization.

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