Data Engineering
Build scalable, cloud-native data platforms that turn raw data into actionable insights
We design and implement modern data architectures on AWS — from data lakes and warehouses to real-time streaming platforms.
Challenges We Solve
Sound familiar? We've helped dozens of companies overcome these exact problems.
Data Silos
Your data is scattered across multiple systems, making it impossible to get a unified view of your business.
Scaling Issues
Your current infrastructure can't handle growing data volumes, leading to slow queries and missed insights.
High Costs
Legacy data warehouses are expensive to maintain and scale, eating into your IT budget.
Data Quality
Inconsistent data formats and missing validation lead to unreliable analytics and poor decisions.
What We Deliver
End-to-end data engineering solutions built on AWS best practices.
Data Lake & Lakehouse Architecture
Modern open-table formats like Apache Iceberg that combine the best of data lakes and warehouses. ACID transactions, time travel, and schema evolution at scale.
ETL/ELT Pipeline Development
Automated data pipelines that extract, transform, and load data reliably. Built for scale with proper error handling, monitoring, and SLA tracking.
Real-time Data Streaming
Process millions of events per second with sub-second latency. Perfect for IoT, clickstream, and operational analytics.
Data Warehouse Modernization
Migrate from legacy systems to cloud-native warehouses. 10x performance at a fraction of the cost.
Why Choose PATHSDATA
10x Faster Queries
Optimized architectures that deliver insights in seconds, not hours.
50-70% Cost Reduction
Cloud-native designs that scale efficiently and reduce operational costs.
Enterprise Security
AWS-native security with encryption, access controls, and compliance.
Infinite Scale
Architectures that grow with your business without performance degradation.
Industry Use Cases
Retail & E-commerce
Customer 360 data platform combining POS, web, mobile, and CRM data for personalized marketing.
Healthcare
HIPAA-compliant data lake for patient records, claims, and clinical data analytics.
Financial Services
Real-time fraud detection and risk analytics with sub-second data ingestion.
Manufacturing
IoT data platform for predictive maintenance and supply chain optimization.
Technology Stack
Storage
- AWS S3
- Apache Iceberg
- Delta Lake
- Parquet
Processing
- AWS Glue
- Apache Spark
- Amazon EMR
- dbt
Warehouse
- Amazon Redshift
- Athena
- Snowflake
Streaming
- Kinesis
- MSK (Kafka)
- Flink
Orchestration
- Step Functions
- Airflow
- Dagster
Governance
- Lake Formation
- Glue Catalog
- DataZone
Our Process
Discovery & Assessment
Deep dive into your current data landscape, pain points, and business objectives. We analyze data sources, volumes, and access patterns.
Architecture Design
Design a future-proof architecture tailored to your needs. We create detailed technical specifications and migration plans.
Implementation
Build and deploy data pipelines, lakes, and warehouses using AWS best practices. Iterative delivery with continuous feedback.
Optimization & Handoff
Performance tuning, cost optimization, documentation, and knowledge transfer to your team.
Ready to Modernize Your Data Infrastructure?
Let's discuss how we can help you build a scalable, cost-effective data platform on AWS.
