Enterprise-Grade Solutions

Data Engineering Services

End-to-end data engineering solutions to build, migrate, and optimize your modern data infrastructure with proven methodologies.

Reusable Blueprints

Accelerate delivery with proven reference architectures tailored to your domain.

Modern Stack Focus

Databricks, Snowflake, and cloud-native tooling selected for your use case.

Operational Excellence

Observability, governance, and cost controls embedded from day one.

Embedded Partnership

Senior engineers work alongside your team with transparent delivery.

Our Service Offerings

Comprehensive data engineering services tailored to your business needs

Platform Optimization

SnowflakeAmazon RedshiftDelta Lake

Reduce cloud spend and improve query performance through comprehensive FinOps assessments and workload optimization.

Current State
High costs
Analysis
FinOps audit
Optimized
Lower TCO

What We Deliver:

FinOps health check and cost analysis
Query performance tuning and optimization
Warehouse sizing and autoscaling configuration
Storage tiering and lifecycle policies
Workload isolation and resource allocation
Cost allocation tagging and chargeback models
Performance benchmarking and SLA tracking

Technologies

SnowflakeAmazon RedshiftDelta LakeIceberg LakeGoogle BigQueryAzure Fabric OneLakeDatabricks LakeHousePySparkPandas

Key Benefits

Spend Intelligence
FinOps scorecards surface daily run-rate insights for leadership.
Elastic Capacity
Autoscaling guardrails tune clusters for workload peaks and valleys.
Governed Operations
Tagging and access policies keep shared environments compliant.

Ready to get started?

Let's discuss your project requirements

Contact Us

Our Engagement Process

A proven methodology to ensure successful delivery of your data engineering projects

Step 1

Discovery, Assessment & Planning

Align on business outcomes, stakeholders, success metrics, and prioritized backlog.

Continuous Delivery Loop
Step 2

Architecture & Design

Blueprint the target data platform, governance, and integration patterns.

Step 3

Build

Iteratively deliver pipelines, models, and automation using paired reviews.

Step 4

Deploy

Release increments safely with validation suites and stakeholder demos.

Step 5

Optimize

Instrument performance, costs, and SLAs before planning the next sprint.

Steps 2-5 iterate until outcomes are met and stakeholders sign off for handover.
Step 6

Handover

Transition operations, runbooks, and knowledge transfer to your core team.

Ready to transform your data infrastructure?

Start Your Project

Ready to Transform Your Data Infrastructure?

Partner with DataYantra to build scalable, reliable, cost-optimized, and secure data platforms. Let's discuss how we can help you achieve your data infrastructure goals.

  • Scalable architecture designed for growth
  • High availability with automated failover
  • Cost optimization through FinOps practices
  • Enterprise security & compliance ready
  • Performance-optimized query processing
  • Focus on measurable business outcomes
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