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SP INFOTECH

Online Services — Data, AI & Automation

Databricks Lakehouse Services

We build and optimise Databricks lakehouse platforms — ingestion pipelines, Delta Lake modelling, Unity Catalog governance and the Spark tuning that keeps costs sane.

Data engineer building large-scale analytics pipelines
Discipline
Data, AI & Automation
Delivery
Live online, worldwide
Service line
Lakehouse & data pipelines

Databricks makes it easy to start and easy to overspend. Clusters sized generously and left running, pipelines that reprocess full history nightly, and jobs whose shuffle behaviour nobody has examined account for most of the bills we are asked to explain.

Our engagements cover both build and remediation: designing incremental pipelines with Delta Live Tables and Auto Loader, and rewriting existing jobs whose performance has degraded as data grew.

Unity Catalog governance is part of the work rather than an afterthought, since retrofitting access control across an established lakehouse is considerably harder than designing it in.

What we deliver

Scoped as a project, a phased rollout or an ongoing managed service.

01

Lakehouse architecture

Medallion layer design, storage layout and workspace structure documented up front.

02

Ingestion pipelines

Incremental ingestion with Auto Loader and Delta Live Tables rather than full reloads.

03

Unity Catalog governance

Catalog, schema and access design with lineage and audit in place.

04

Spark performance tuning

Partitioning, shuffle and join optimisation on jobs that have degraded with data growth.

05

Cost optimisation

Cluster policies, autoscaling, spot usage and job scheduling to control DBU consumption.

06

Migration

Migration from legacy Hadoop, warehouse or notebook estates onto the lakehouse.

07

MLOps

MLflow tracking, model registry and deployment pipelines for production models.

08

Managed data platform

Pipeline monitoring, failure response and ongoing optimisation under SLA.

Products & components covered

  • Delta Lake
  • Delta Live Tables
  • Unity Catalog
  • Apache Spark
  • MLflow
  • Auto Loader

How we engage

  • Platform build
  • Pipeline development
  • Performance remediation
  • Managed data platform

What you end up with

  • Pipelines that process increments, not full history
  • DBU consumption reduced against a measured baseline
  • Data access governed and auditable
  • Jobs that stay fast as volume grows

Databricks services delivered worldwide

This work is delivered remotely, so location is not a constraint. Change windows are scheduled in your local time and staffed accordingly, across IST, GMT, CET and US hours. Where a task genuinely needs someone physically present, we coordinate local hands and run the technical work remotely alongside them.

FAQs

Databricks services — common questions

What clients ask before scoping an engagement.

Yes — it is one of our more common engagements. We profile job-level consumption, identify the pipelines and cluster policies responsible, and remediate the largest contributors first.

Start a conversation

Need Databricks work delivered?

Tell us what you are running and what needs to change. We will come back with a scope, an approach and a price.

Office
RN 506, Siddha Esplanade, 6 Jawaharlal Nehru Road, Kolkata, West Bengal 700013, India
Hours
Monday – Saturday, 10:00 AM – 7:00 PM IST

Our Clients

We work with the companies that have established a stainless reputation in what they do. They are leaders in various spheres of business, and we appreciate cooperating with them.

International Institute of Hotel Management logo
CenturyPly logo
Geological Survey of India logo
Indian Defence emblem
TVS logo
Client logo
Client logo
Simoco Telecommunications (South Asia) Limited logo
CEVA logistics logo
Anand Shreeji logo
aquatica india logo