Figwave global

Figwave global

AWS Advanced Tier Partner
Figwave global — AWS Consulting
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Data Competency
Data & AI

Data & Analytics

Configure scalable data lakes, automated streaming pipelines, and analytical infrastructure capable of handling massive data volumes.

Data & Analytics — built with Amazon Redshift, AWS Glue, Amazon Kinesis, Amazon Athena, Amazon QuickSight Amazon Redshift AWS Glue Amazon Kinesis Amazon Athena Amazon QuickSight

Overview

We build data platforms on AWS that collect, store and analyse data at scale — from batch ETL into a governed data lake to real-time streaming pipelines and business dashboards.

Our designs separate storage from compute, apply fine-grained access controls and keep costs predictable, so teams can query trusted data without waiting on manual exports.

Scope of Work & Technical Methodology

Prescriptive AWS engineering deliverables deployed with Infrastructure as Code (IaC), compliance guardrails, and enterprise SLAs.

Modern cloud data lake architecture using Amazon S3 and AWS Lake Formation
High-performance data warehousing with Amazon Redshift and Athena
Serverless ETL data processing with AWS Glue and Apache Spark
Real-time streaming ingestion via Amazon Kinesis and MSK (Managed Kafka)

What You Receive

  1. 1 Data platform architecture and governance model
  2. 2 Data lake on Amazon S3 with AWS Lake Formation permissions
  3. 3 Batch and streaming ingestion pipelines
  4. 4 Data warehouse models in Amazon Redshift
  5. 5 Self-service dashboards in Amazon QuickSight

Core AWS Technologies & Tooling

Amazon Redshift AWS Glue Amazon Kinesis Amazon Athena Amazon QuickSight
Measurable Business Impact

Actionable real-time business insights across enterprise silos

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