PATHSDATA
AWSAWS Select Tier Consulting Partner

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.

Apache IcebergAWS S3AWS Lake FormationDelta Lake

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.

AWS GlueApache SparkdbtAirflowStep Functions

Real-time Data Streaming

Process millions of events per second with sub-second latency. Perfect for IoT, clickstream, and operational analytics.

Amazon KinesisApache KafkaMSKFlink

Data Warehouse Modernization

Migrate from legacy systems to cloud-native warehouses. 10x performance at a fraction of the cost.

Amazon RedshiftSnowflakeDatabricksAthena

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

1

Discovery & Assessment

Deep dive into your current data landscape, pain points, and business objectives. We analyze data sources, volumes, and access patterns.

2

Architecture Design

Design a future-proof architecture tailored to your needs. We create detailed technical specifications and migration plans.

3

Implementation

Build and deploy data pipelines, lakes, and warehouses using AWS best practices. Iterative delivery with continuous feedback.

4

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.