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Data Engineering & Analytics

Unified data platforms, ETL pipelines, and AI-ready architecture.

We build the data infrastructure that powers your business intelligence and AI initiatives. From ETL/ELT pipelines and data lakes to real-time analytics dashboards and AI-ready data architecture — we ensure your data is clean, accessible, and actionable across every platform.

5Capabilities
4Specialized Services
What We Deliver

Our Capabilities

01

Unified Data Platforms

Design and build centralized data platforms that bring together data from Salesforce, AWS, Google Cloud, and third-party systems into a single source of truth. We architect for both analytical and operational workloads.

  • Data lakehouse architecture on AWS (S3 + Athena + Glue) or GCP (BigQuery + GCS)
  • Salesforce Data Cloud for unified customer profiles
  • Master data management and data governance frameworks
  • Data catalog and metadata management
  • Cross-platform data mesh architecture
AWSGoogle CloudSalesforce
Unified Data Platforms
02

ETL/ELT Pipelines

Build reliable, scalable data pipelines that extract, transform, and load data across your systems. Whether batch or real-time, we design pipelines with monitoring, error handling, and data quality checks built in.

  • AWS Glue, Step Functions, and Lambda for ETL
  • Google Dataflow and Cloud Composer for GCP pipelines
  • dbt for SQL-based data transformation
  • Real-time streaming pipelines with Kafka and Kinesis
  • Data quality validation and lineage tracking
AWSGoogle Cloud
ETL/ELT Pipelines
03

Data Lakes & Warehouses

Architect data storage solutions optimized for your workload — from cost-efficient data lakes for raw data to high-performance warehouses for analytics. We design storage layers that balance cost, performance, and accessibility.

  • AWS S3 data lake with Lake Formation governance
  • Google BigQuery serverless data warehouse
  • Amazon Redshift for high-performance analytics
  • Delta Lake and Apache Iceberg for lakehouse patterns
  • Data partitioning, compression, and lifecycle management
AWSGoogle Cloud
Data Lakes & Warehouses
04

Business Intelligence & Visualization

Turn data into decisions with interactive dashboards, automated reports, and embedded analytics. We build BI solutions using Tableau, Looker, CRM Analytics, and custom visualization tools.

  • Tableau dashboards and embedded analytics
  • CRM Analytics (Tableau CRM) for Salesforce insights
  • Looker and Looker Studio for Google Cloud analytics
  • Custom data visualization with D3.js and Recharts
  • Automated report scheduling and distribution
TableauGoogle CloudSalesforce
Business Intelligence & Visualization
05

AI-Ready Data Architecture

Design data architectures specifically optimized for AI and machine learning workloads. We ensure your data is structured, labeled, and accessible for model training, feature engineering, and real-time inference.

  • Feature stores for ML model training and serving
  • Data labeling and annotation pipelines
  • Vector database design for embedding storage and search
  • Data versioning and experiment tracking (MLflow, W&B)
  • Privacy-compliant data pipelines (PII masking, anonymization)
AWSGoogle Cloud
AI-Ready Data Architecture