Data Engineering & Analytics
- Home
- Data Engineering & Analytics
Transform raw data into intelligent action. We build end-to-end data ecosystems that power decisions, predict outcomes, and drive business agility. With our Data Engineering & Analytics services, we help organizations unlock the full potential of their data by building modern, scalable, and secure data infrastructures. From data pipelines to real-time analytics and AI-driven insights, we ensure your business is insight-ready and future-proof.
Data Architecture & Modeling
Lay the foundation for scalable, flexible, and high-performing data environments.
Conceptual, logical & physical data modeling
Data architecture blueprinting (lakehouse, data mesh, etc.)
Cloud/hybrid/on-prem data architecture design
Metadata and lineage management strategies
Integration of structured, semi-structured & unstructured data
ETL/ELT Pipeline Development
Efficiently move and transform data across systems with secure and resilient pipelines.
Batch and real-time data ingestion
ETL/ELT pipeline design and orchestration (Airflow, dbt, Talend)
Data transformation logic implementation
Data integration from APIs, legacy systems, IoT devices
Automated error handling and monitoring
Data Lake & Data Warehouse Solutions
Store and access data at scale using modern storage and processing architectures.
Data Lake setup (Delta Lake, S3, ADLS, GCS)
Modern Data Warehouses (Snowflake, BigQuery, Redshift, Synapse)
Lakehouse architecture implementation
Data partitioning, compression & performance tuning
Migration from legacy warehouses to cloud
Cloud-native Data Platforms (Azure, AWS, GCP)
Leverage the power of the cloud to scale data infrastructure and analytics.
Azure Synapse, AWS Glue, GCP Dataflow-based solutions
Serverless data workflows and auto-scaling environments
Cloud storage, security, and cost optimization
Infrastructure-as-Code for data deployments (Terraform, ARM, CloudFormation)
Hybrid and multi-cloud data strategy support
Data Quality & Master Data Management (MDM)
Ensure your data is trusted, consistent, and business-ready.
Data profiling, cleansing & deduplication
Golden record and hierarchy management
Reference data and business rules governance
MDM tools integration (Informatica, Talend, Profisee)
Continuous quality monitoring and auditing
BI Dashboards & Visualization
Empower decision-makers with intuitive dashboards and rich visual analytics.
Interactive dashboards using Power BI, Tableau, Looker
Self-service analytics frameworks
Embedded analytics for customer portals
KPI definitions, metrics layers, and data storytelling
Performance optimization for large datasets
Advanced Analytics & Machine Learning
Go beyond descriptive analytics and into predictive and prescriptive intelligence.
Predictive modeling & clustering
Natural Language Processing & recommender systems
AI integration into apps/products
ML model training, tuning & deployment (MLflow, SageMaker, Vertex AI)
Model monitoring, bias detection & retraining pipelines
Real-time & Streaming Analytics
Capture and act on data as it happens with real-time processing.
Real-time data pipelines using Kafka, Apache Spark, Flink
Event-driven architecture for low-latency analytics
Real-time dashboards and alerting systems
Stream ingestion from IoT, apps, and edge devices
Integration with CEP and automation workflows
Data Governance & Compliance
Protect your data assets and ensure compliance with global regulations.
Data cataloging & classification (Collibra, Alation)
Role-based access controls and encryption
Compliance with GDPR, HIPAA, CCPA, etc.
Policy definition and enforcement frameworks
Auditing, traceability, and regulatory reporting
Industries Served
Healthcare & Life Sciences
Financial Services & Insurance
Retail & E-commerce
Manufacturing & Logistics
Public Sector & Smart Cities





