Pure Technology
Data Engineering

Data pipelines you can bet a quarterly report on.

Modern data engineering — warehouses, lakes, streams, and the governance layer — built so analysts and AI teams stop arguing about which number is real.

60+
Data platforms shipped
<5 min
Avg. SLA freshness
100%
Lineage coverage
dbt-native
By default

Built for teams that need this to just work.

Who this is for

  • Companies whose dashboards disagree depending on who opens them.
  • Analytics teams blocked on raw access while data engineering rewrites pipelines.
  • AI teams needing a feature store and clean training data.
  • CFOs needing audited, reconciled data for board reporting and compliance.
Technology Expertise

Technologies Your Teams Already Trust.

We build teams around modern engineering ecosystems ensuring every developer is aligned with your stack, workflows, and delivery standards.

L5

ETL Engineers

Batch & Stream ETL

Apache SparkFlinkKafka
L5

Pipeline Engineers

Orchestration

AirflowPrefectDagster
L6

Streaming Eng.

Real-time Streaming

KafkaKinesisPub/Sub
L4

Integration Eng.

Data Integration

FivetranAirbytedbt
What we deliver

A full-stack capability - not a job title.

Every engagement is led by senior practitioners. You meet them in the pitch; they ship the work.

Modern warehouse

Snowflake, BigQuery, Databricks, Redshift — architected for cost, performance, and governance.

ELT & ingestion

Fivetran, Airbyte, custom CDC, and event pipelines — observable, idempotent, and replayable.

dbt-first modeling

Layered models, tests, exposures, and semantic layer — analysts can self-serve safely.

Streaming pipelines

Kafka, Flink, Materialize, and Snowpipe — for use cases where seconds matter.

Governance & lineage

Catalog, lineage, PII tagging, and access controls — wired into the warehouse, not bolted on.

Feature stores for ML

Tecton, Feast, or warehouse-native — supporting both batch training and real-time inference.

Outcomes that matter

Numbers from real engagements.

43%
Warehouse spend cut

Workload tuning + warehouse rightsizing on a Snowflake bill running 7 figures.

2 min
Pipeline freshness

Reduced from a 6-hour batch to a sub-2-minute CDC stream for a fintech.

100%
Lineage coverage

Every model traced from source to dashboard — default on every engagement.

Related case studies

Proof from similar work.

A few relevant engagements that match this service area.

KPI Dashboard for Manufacturing
Tire Manufacturing
Case study

KPI Dashboard for Manufacturing

Challenge — Power BI KPI Dashboard boosted production efficiency by 20% and delivered 40% faster reporting.

What we did — Developed a centralized Power BI-based KPI Dashboard integrating SQL Server data aggregation, AI-powered defect trend analysis, and predictive analytics for power consumption. Enables real-time plant management insights — reducing wastage, accelerating decisions, and improving resource utilization.

20%
Increase in Production
40%
Faster Reporting Dashboards
35%
Improvement in Resource Utilization
TMA usage monitoring
Tire Manufacturing
Case study

TMA usage monitoring

Challenge — Power BI and AI-driven TMA project cut reporting time by 60% and boosted data accuracy by 40%.

What we did — Built a smart TMA usage monitoring solution powered by automated Power BI dashboards, structured data validation, and AI/ML predictive analytics. Replaces manual reporting with real-time insights — reducing material wastage, cutting IT dependency, and enabling proactive, data-driven decision-making.

60%
Reduction in Reporting Time
40%
Increase in Data Accuracy
25%
Reduction in IT Support
IoT-Diesel consumption system
Tire Manufacturing
Case study

IoT-Diesel consumption system

Challenge — IoT and Power BI-driven diesel management reduced fuel wastage by 30% and accelerated fuel decisions by 50%.

What we did — Built an IoT-powered diesel consumption monitoring system integrated with Power BI dashboards and AI/ML forecasting models. Enables real-time fuel tracking, accurate consumption analytics, and smarter procurement decisions — significantly reducing wastage and operational costs which help to grow and manage your business.

30%
Reduction in Diesel
40%
Increase in Fuel Data
50%
Faster Fuel
FAQ

The questions we hear most.

Do we need to switch warehouses?+

Usually not — we work with what you have, and migrate only when the ROI is clear.

Can you support our analytics team?+

Yes — we run enablement, code reviews, and embedded analytics engineering pods.

How do you handle PII and compliance?+

Column-level masking, row-level security, and tagged lineage — designed for SOC 2, GDPR, and HIPAA.

Related services

Most engagements span more than one practice.

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Ready to scope this in detail?

A 30-minute call with a senior engineer. No sales theatre — just a real assessment of fit, scope, and timeline.