Data Engineering
Overview
In 2026, data is no longer just “fuel” – it is the nervous system of the enterprise. At Eastwards, we specialize in the “Last-Mile” of data engineering, ensuring that your raw information is not just stored, but transformed into a trusted, high-velocity asset.
As a premier partner to global technology leaders, we combine cloud-native scalability with AI-driven automation to build data estates that are reliable, secure, and ready for autonomous action.
Our Data Engineering Pillars
Unified Data Modernization & Migration
Stop “lifting and shifting” and start “migrating to modernize.” We transition legacy environments into high-performance cloud architectures.
- Lakehouse Architecture
Blending the flexibility of data lakes with the governance of data warehouses (Databricks, Snowflake, BigQuery).
- Legacy-to-Cloud Transformation
Seamlessly moving on-premise workloads to AWS, Azure, or GCP with zero downtime.
- Report & Logic Rationalization
Cleaning up redundant data silos and obsolete BI reports during the migration process to reduce technical debt.
Intelligent Data Orchestration (AI-Driven ETL/ELT)
Traditional manual pipelines are too slow for the modern enterprise. We use AI-powered accelerators to automate the flow of data.
- Metadata-Driven Ingestion
Automated frameworks that connect to hundreds of sources (SAP, Salesforce, IoT) and ingest data with built-in quality checks.
- AI-Enhanced Code Conversion
Using GenAI to automatically translate legacy SQL or ETL logic into modern, cloud-native Spark or Python code.
- Self-Healing Pipelines
Data flows that automatically detect schema shifts or failures and attempt to resolve them without human intervention.
Data Integrity, Governance & Observability
If you don’t trust your data, you can’t use your AI. We embed trust into every layer of your data ecosystem.
- Automated Data Quality (DQ)
Real-time monitoring for anomalies, duplicates, and missing values before they reach your dashboards.
- Master Data Management (MDM)
Creating a “Single Source of Truth” across domains like Customer, Product, and Supply Chain.
- Data Contracts & Lineage
Clearly defining ownership and tracking every data point from its source to its final destination for full auditability.
Real-Time Streaming & Event-Driven Insights
In a world of instant demands, batch processing isn’t enough. We build the “Fast Lane” for your data.
- Stream Processing
Utilizing Kafka, Flink, and Spark Streaming to process millions of events per second.
- Actionable Telemetry
Turning real-time sensor or clickstream data into immediate business triggers (e.g., fraud alerts or inventory reorders).
- Data Exchanges & Clean Rooms
Facilitating secure, privacy-compliant data sharing with your partners and vendors.
Platform Operations & FinOps
We ensure your data platform is as cost-effective as it is powerful.
- Cloud Cost Optimization (FinOps)
Intelligent tiering of storage and compute to ensure your cloud bill doesn’t grow faster than your business.
- Unified Observability
A single control tower to monitor the health, security, and performance of your entire data estate.