Enlight Lab
Custom AI Development Company · IndiaTrusted by high-growth startups

Your Data Platform Is Broken. We Fix It.

Snowflake and Databricks implementations that actually work - pipelines that stay running, clean analytics your team trusts, and a data platform built for your volume, not a demo.

Validation Ready48h Delivery

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What do you want to build? (pick all that apply)
NDA Protected
Senior Scoping
24h Response
TRUSTED BY LEADING TEAMS
Emblazer.aiHumaMozilla Foundation

Who We Are

Enlight Lab is an elite consultancy of senior engineers (average 10+ years experience, ex-founders) who build directly for you.

  • Snowflake and Databricks specialists with production experience at real data volumes.
  • Every dbt model documented, version-controlled, and handed over to your team at completion.
  • Pipelines built with monitoring, alerting, and automated recovery - not silent failures.

Track Record

5.0 on Clutch

Fixed Price

Clutch Review

5.0 Rating on Clutch · Jay Joshi, Exar North

“Delivered a working MVP faster than we thought possible.”

4–6 WeeksAvg. AI system delivery
<24hProposal after call
5.0★Clutch rating
Dhananjay Goel, Founder & CEO, Enlight Lab

Dhananjay Goel

Founder & CEO, Enlight Lab

View LinkedIn

Former CTO & Co-founder of Alphalogic Techsys Limited, where he led engineering through its growth into one of the first Indian technology companies listed on the Bombay Stock Exchange.

Throughout his career, Dhananjay has led the design and delivery of software used by organizations including Mozilla, Maersk, and Huma, helping companies build, modernize, and scale complex technology platforms.

Today, he personally leads the technical direction of every AI engagement at Enlight Lab. Every architecture, technology decision, and delivery strategy is reviewed with one question in mind:

"Will this still be the right technical decision two years from now?"

That philosophy often leads to recommendations that clients don't expect.

Sometimes the answer is a custom AI platform.

Sometimes it's workflow automation.

Sometimes it's an existing SaaS product.

And if custom AI isn't the right solution, he'll tell you before you invest time and money building the wrong thing.

Unlike traditional agencies where founders disappear after the sales call, Dhananjay remains actively involved throughout every project, working alongside the engineering team to ensure every solution is scalable, maintainable, and built for long-term business value.

"Great software isn't built by chasing the latest technology. It's built by making the right technical decisions from the start."

Free scoping call. Fixed-price proposal within 24 hours.

Partners & Recognition

Certified Partner Status & Ratings

AWS Partner
Select Tech Partner
5.0 on Clutch
Verified
Microsoft
Silver Partner
Google Cloud
Partner
Teams We've Built For
Pasqal
MAERSK
UnitedHealthcare
CNN
Mozilla Foundation
Huma
ALIDA
qPress
Emblazer
Go2ANDAMAN
homeloft
ACCESSTRUTH
Why Enlight Lab

Specific Commitments. Not Marketing Language.

Every firm claims to be reliable, fast, and senior. Here is what those words actually mean in practice when you engage with us.

Most AI firms

Pricing

Vague estimates. The real cost shows up after you sign, plus change-order surprises.

Ownership

Lock-in, or fuzzy answers about who owns the code and the IP.

Who builds it

Seniors on the sales call, juniors on your project after you sign.

Communication

Jargon and status decks. You slowly lose the thread of your own project.

Enlight Lab

Pricing

Fixed price before any code. The price we agree is the price you pay.

Ownership

Full source-code and IP ownership, transferred on handover. No lock-in, ever.

Who builds it

Senior engineers only. The ones who scope your project are the ones who build it.

Communication

Plain English, every choice explained. One senior contact, first call to launch.

What You Get

Everything Included. No Hidden Extras.

One engagement, full-stack execution. We own the outcome, not just the deliverables.

01

Snowflake Implementation

Snowflake setup from scratch: schema design, data modelling, cost optimisation, and a transformation layer your analysts can actually use. Built for your data volume, not a generic template.

Fixed-price contractWeekly milestonesLaunch plan
02

Databricks Platform Development

Databricks notebooks, Delta Lake architecture, and Spark pipelines that actually run in production. We build the platform, not just the demo environment.

Technology selection docArchitecture diagramCode documentation
03

dbt Transformation Layer

dbt models that transform raw data into clean, documented, version-controlled datasets. Your analysts write SQL against trusted tables, not raw exports with unknown origins.

Testing suiteProduction deploymentIP transfer
04

Reliable Data Pipelines

Pipeline development with monitoring, alerting, and automated recovery. No more silent failures at 3am or stale dashboards your team cannot trust.

Demo environmentInvestor deck supportLive data integration

Sometimes we'll tell you not to build.

If AI isn't the right answer for your problem, or an off-the-shelf tool would do the job better and cheaper, we'll say so on the call.

Four Phases. Four Weeks. Every Checkpoint is Working Software.

No status-report theatre. No slide decks. At every phase you receive something you can read, test, or deploy.

1
Week 1

Data Audit and Assessment

We map your entire data flow: source systems, pipelines, warehouse setup, and analytics layer. You receive a written assessment: where data is breaking down, which platform (Snowflake or Databricks) fits your workload, and what the right architecture looks like.

Data flow mapPipeline audit and risk registerPlatform recommendationCost and timeline estimate
2
Weeks 2–6

Warehouse and Pipeline Build

We build or rebuild your data platform on Snowflake or Databricks according to the agreed architecture. Every pipeline is monitored, every transformation is documented, and every source system is connected with appropriate retry logic.

Snowflake or Databricks warehouse setupPipelines with monitoring and alertingdbt transformation modelsDocumentation and runbooks
You approve before we build
3
Weeks 5–6

Validation and Analyst Handoff

We validate data accuracy end-to-end, reconcile numbers against source systems, and hand off to your analytics team with documented, trusted datasets. Analysts write SQL against clean tables instead of debugging raw exports.

Data accuracy validationdbt documentation completeAnalyst onboarding and SQL walkthroughCost monitoring dashboard
4
As needed

Monitoring and Ongoing Support

We set up alerting and runbooks so your team can operate the platform independently. When you need to add new sources, fix a failing pipeline, or scale the warehouse, we are available on a retainer basis.

Monitoring and alerting configuredRunbooks for common issuesOptional retainer for ongoing support
Testimonials

What Engineering & Product Leaders Say

Real feedback from our clients, from startups to large organisations.

5.0
Clutch · Verified Review
Fixed
Price guaranteed
10+
Industry verticals
NDA
Day one

“We had been trying to build a reliable analytics stack for 18 months. Enlight Lab came in, audited everything in a week, and had a working dbt layer in Snowflake within three weeks. For the first time, our analysts trust the data.”

Head of Data
Series B SaaS · Verified Client

“Enlight Lab delivered exactly what we needed, faster than we expected. Clear communication, strong technical judgment, and they understood our requirements without needing things repeated.”

Jay Joshi
Jay Joshi
CEO · Exar North

“Enlight Lab were excellent at execution, but what set them apart was their thinking on the product itself and the strategy around it. Real partners, not just developers.”

Sophia V. Prater
Sophia V. Prater
Founder, Rewired

“Enlight Lab took on a genuinely complex platform and delivered without the drama. They worked through every technical hurdle and suggested better ways to build along the way.”

Ben Christine
Ben Christine
Product Designer & Mentor

“Enlight Lab brings real breadth across product, engineering, and DevOps. They get everyone aligned and ship high quality work that holds up in production.”

Daniel Gallagher
Daniel Gallagher
Data Analytics & Engineering

From verified Clutch reviews and LinkedIn recommendations

Technology Stack

Enterprise-Grade Tools.
Battle-Tested in Production.

Data Platforms
SnowflakeDatabricksBigQueryRedshiftDelta Lake
Transformation & Orchestration
dbtAirflowDagsterFivetranAirbyte
Streaming & CDC
KafkaDebeziumAWS KinesisApache Flink
Analytics & Governance
MetabaseLookerModeAtlanOpenMetadata

Stack selection is driven by project requirements. We advise against over-engineering.

Got Questions?

Frequently Asked Questions

Everything you need to know before booking a call.

Should we use Snowflake or Databricks?
It depends on your workload. Snowflake is the better choice for standard analytics, data warehousing, and BI workloads. Databricks is the better fit for data science, machine learning, and streaming analytics on Lakehouse architecture. We assess your specific workloads during the discovery call and recommend based on what you actually need, not a default preference.
What does a Snowflake or Databricks engagement cost?
Costs vary based on scope and complexity of your existing environment. Most engagements start with a fixed-scope audit and assessment, followed by a scoped build phase. We discuss budget and timeline during the discovery call and propose a structure that fits your situation.
How long does it take to get a data platform up and running?
A working warehouse with connected sources, basic dbt transformations, and validated reporting is typically achievable in three to six weeks, depending on the number of source systems and complexity of the transformations.
We already have a data team. Can you work with them?
Yes. Most engagements augment existing data teams rather than replace them. We help your engineers level up on Snowflake, Databricks, dbt, and pipeline architecture while delivering the core work.
Can you help us reduce our Snowflake or Databricks costs?
Yes. We have cut warehouse spend by 30–50% for several clients by optimising dbt models, eliminating redundant runs, right-sizing compute, and implementing clustering and partition strategies. The cost audit happens in the first week.
How do you handle data quality and testing?
Every dbt model we build includes schema tests, data tests, and column-level documentation. We set up dbt Cloud with CI/CD so that every pipeline change is tested before it runs in production. Your team knows when data breaks and why.
What about dbt? Do you use it?
Yes. Every transformation we build uses dbt with full documentation, testing, and version control. Your analysts inherit a clean, navigable data model. Without dbt, your transformations are undocumented SQL scripts with no lineage. With dbt, your team can actually trust the data.
Who owns the code and infrastructure at the end?
You do. All pipelines, dbt models, and infrastructure are transferred to your team at completion. We do not build proprietary platforms or create dependencies that require us to maintain.
How do I get started?
Book a free 30-minute discovery call. We will ask about your current data environment, your biggest pain points, and what Snowflake or Databricks implementation would actually unlock for your business. Within 24 hours of your call, we will outline a proposed engagement. No obligation.
22+ AI Solutions Shipped

Got an AI Idea?
Let's Architect It.

30 minutes with a senior engineer. Fixed price. No salespeople.

Clutch · Verified
5.0

“They scoped our entire AI pipeline in one call and delivered exactly what they promised - on time, fixed price, zero surprises.”

Sarah M.
Sarah M.
CTO, HealthTech Startup
NDA signed before the call begins
Fixed-price quote - no scope creep
Proposal delivered in 24 hours
Senior engineer - not a salesperson
Free · No obligation · Results in 1 business day
AI Capabilities

AI Models We Specialize In

We design, fine-tune, and deploy models from leading research labs to power your production workflows.

GPT-5.6OpenAI
Gemini 3.6Google
Claude Sonnet 5Anthropic
Llama 4Meta
AntigravityGoogle DeepMind
Azure AIMicrosoft