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Cloud-Native ETL for Environmental Analytics

A 3-tier AWS Glue pipeline for assessment, measurement & analysis data

Built a 3-tier data architecture on AWS for an environmental-solutions provider, using AWS Glue, S3, Redshift, Lambda and PySpark to lift data-processing efficiency 30% and cut processing time 20%.

PythonAWS GlueAWS S3Amazon RedshiftAWS LambdaPySparkSQLPower BI
Problem Statement

Data volumes had outgrown the provider’s old infrastructure. Processing was slow, records had accuracy issues, and day-to-day operations dragged. With no single integration and transformation layer, timely insight stayed out of reach.

  • Existing infrastructure could not absorb the scale and complexity of growing datasets.
  • Slow processing and data inaccuracies delayed analysis and decision-making.
  • No single integration and transformation layer for structured and semi-structured data.
Headline Outcomes
+30%AWS Glue

Data-processing efficiency

−20%serverless pipelines

Processing time

Elasticcloud-native

Scalability

The Solution

A serverless 3-tier AWS Glue pipeline that ingests both structured and semi-structured data, with incremental, Full and SCD Type 1 & Type 2 loads so each run only touches changed data and history stays accurate.

Serverless 3-tier architecture on AWS Glue, S3, Redshift, Lambda and PySpark.

Glue ETL extracts, transforms and loads both structured and semi-structured data.

Incremental, Full, SCD1 and SCD2 loads balance freshness against historical integrity.

Pipelines orchestrated through AWS Glue Studio and Lambda so scaling is hands-off.

System Architecture

How the data flows

01

Raw Ingest

Structured + semi-structured

02

AWS Glue ETL

Extract & transform

03

Load Strategies

Incremental · Full · SCD1/2

04

Redshift

Analytics warehouse

05

Glue Studio + Lambda

Orchestration

Result 01

Enabled faster environmental insights and quicker decision-making.

Result 02

Delivered elastic scalability that adapts to evolving data needs.

Result 03

Replaced brittle batch jobs with resilient, serverless orchestration.

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