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Data Engineering

Enterprise Data Infrastructure Built for AI That Performs.

We build secure, scalable and compliant data engineering pipelines that transform raw data into AI-ready assets. Power real-time insights, reliable ML models and intelligent applications.

AI-Ready Data
Real-time & Scalable
Governed & Compliant
Built for Regulated Industries
Trusted by enterprises inFinTechHealthcareGovernment
Built for Compliance.
Designed for Trust.
RBI
Guidelines
SEBI
Guidelines
HIPAA
Compliant
GDPR
Compliant
ISO 27001
Certified

End-to-End Data Engineering Architecture

Production-grade pipelines that power analytics, ML and AI systems at scale.

1. INGEST
Databases
Applications
APIs
Files / Logs
Streaming / IoT
2. PROCESS
Orchestration
Airflow / Prefect
Processing Engine
Spark / Flink / dbt
Data Quality
Great Expectations
Change Data Capture
Batch & Real-time
3. STORE (LAKEHOUSE)
Raw Data
Data Lake (S3 / ADLS / GCS)
Curated Data
Delta Lake / Iceberg
Analytics Warehouse
ClickHouse / Snowflake / BigQuery
Vector Store
Pinecone / Weaviate / Milvus
4. SERVE
BI & Analytics
Tableau / Power BI / Looker
ML / Feature Store
Feast / Tecton
AI / RAG Applications
LLMs, Agents, Apps
APIs & Dashboards
5. GOVERN & OBSERVE
Data Catalog
Atlan / Amundsen
Lineage
OpenLineage
Data Quality
Monitoring
Access & Privacy
RLS / Masking
Observability
Logs, Metrics, Alerts
SecurityGovernanceComplianceCost OptimizationMonitoring

Our Data Engineering Capabilities

Everything you need to build reliable, scalable and AI-ready data systems.

Data Ingestion at Scale

Batch, streaming and CDC pipelines using modern tools for high throughput and low latency.

ETL / ELT Pipelines

Robust transformation pipelines with orchestration, testing and schema management.

Real-time Data Processing

Event streaming, windowed aggregations and real-time analytics pipelines.

Lakehouse Architecture

Combine the flexibility of data lakes with the performance of data warehouses.

Data Quality & Observability

Automated data quality checks, drift detection, alerts and observability dashboards.

Data Governance

Cataloging, lineage, RBAC, PII masking and policy enforcement for compliance.

ML Feature Engineering

Build and serve reusable features with feature stores for consistent ML outcomes.

Vector Data Pipelines

Ingestion, chunking, embeddings and vector store management for RAG and semantic search.

What Breaks Without Strong Data Engineering

Poor data foundations lead to poor AI outcomes and business risk.

Inaccurate AI Outputs

Garbage in, garbage out. Bad data leads to wrong predictions and insights.

Model Drift & Failures

Unmonitored data changes cause models to degrade silently.

Compliance Violations

Poor governance leads to data leaks, fines and loss of trust.

Siloed & Inconsistent Data

Duplicate, fragmented data creates operational inefficiencies and bad decisions.

Stale Analytics

Delayed pipelines result in outdated dashboards and missed opportunities.

High Infra & Cloud Costs

Inefficient pipelines and unoptimized storage waste budget.

Modern. Proven. Production-Ready.

We use best-in-class open source and cloud technologies.

Apache Kafka
Apache Spark
Flink
Airflow
dbt
Delta Lake
ClickHouse
Snowflake
S3 / ADLS / GCS
Kubernetes

Let's Build Your AI-Ready
Data Infrastructure.

Book a session with our data engineering experts and get a tailored architecture & roadmap for your organization.

30-45 min expert sessionArchitecture assessmentRecommendations & roadmapNo obligation