We help enterprises hire big data experts with hands-on experience designing, building, and operating large-scale data platforms. Our experts work alongside your internal teams to modernize data pipelines, improve reliability, and enable data-driven decision-making at scale.
At ThirdEye Data, Big Data is not an add-on capability. It is where we started.
We provide Big Data engineers who understand volume, velocity, complexity, and enterprise reality.

Our Big Data experts are trusted in environments where:
Data volumes are large and growing
Pipelines must operate reliably under load
Data feeds multiple downstream systems including BI, ML, and AI
Performance, cost, and governance must be balanced
Because we have delivered large-scale Big Data platforms ourselves, we know exactly what kind of expertise is required and how to staff it responsibly.
Big Data capabilities cut across every major enterprise function. Our experts are deployed in environments where data reliability and scale directly impact business outcomes.
Designing and modernizing data lakes and lakehouses
Building centralized and domain-aligned data platforms
Supporting enterprise analytics and AI initiatives
Processing high-volume operational and IoT data
Supporting real-time monitoring and anomaly detection
Enabling predictive analytics for planning and optimization
Managing large-scale customer interaction data
Supporting personalization and behavior analytics
Powering customer-facing dashboards and insights
Handling transaction-heavy financial datasets
Supporting regulatory reporting and audit trails
Ensuring data accuracy, lineage, and traceability
Managing campaign, clickstream, and engagement data
Supporting attribution modeling and performance analysis
Enabling real-time and batch analytics workflows
Providing clean, reliable data for ML training and inference
Supporting feature engineering pipelines
Enabling scalable experimentation and model deployment
Enterprise data governance and quality programs
Metadata management and lineage tracking
Shared data services for multiple teams






We make platform alignment clear while keeping the focus on delivery.
Big Data Processing & Storage
Apache Spark
Hadoop ecosystem components
Kafka and streaming platforms
Data Platforms & Analytics
Snowflake for enterprise-scale analytics
Azure Data platforms including Azure Data Factory and Synapse
Databricks for large-scale data processing
Cloud & Enterprise Platforms
Microsoft Azure with deep experience in large data workloads
AWS and Google Cloud where required
Data Engineering & Operations
Workflow orchestration tools
Data quality and monitoring frameworks
CI/CD for data pipelines
If you are modernizing data platforms or scaling analytics and AI initiatives, we can help you hire Big Data experts who have done this before.
We understand your data landscape, volumes, latency needs, and downstream consumers.
We select experts who are aligned based on platform experience and data scale, not just the mentioned skill set.
All big data experts are reviewed by our senior data architects for production readiness.
Resources can be deployed for short-term initiatives, long-running programs, or as part of dedicated AI pods.