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Manufacturing
Amazon S3, AWS DMS, AWS Glue, Amazon Athena, Amazon QuickSight
Built an automated AWS analytics pipeline for data ingestion, transformation, and dashboarding.
The client is one of Bangladesh’s leading apparel manufacturers. They produce woven and denim garments for top global brands and have expanded into textile processing and sustainable chemical solutions through a dedicated subsidiary. With over 5,000 employees and state-of-the-art facilities, the client is known for strong compliance, CSR initiatives, and eco-friendly practices like water recycling and LEED-certified plants, making them a trusted name in the country’s garment industry.
Reduction in manual data preparation
Faster decision-making
Enhanced Business Intelligence
The leading technology company’s existing data analytics infrastructure lacked automated ETL processes, near real-time querying capabilities, and centralized reporting systems, resulting in slow and inefficient data preparation workflows that hindered timely decision-making across the organization.
• Automated data ingestion from MySQL and Oracle VMs to Amazon S3 using AWS DMS over secure VPN.
• Data transformation with AWS Glue automated crawlers and ETL jobs for analytics-ready formats.
• Scalable querying via Amazon Athena for serverless queries and Amazon Redshift for high-performance analytics.
• Interactive dashboards through Amazon QuickSight for self-service insights and real-time KPI visualization.
• Real-time monitoring and governance using Amazon CloudWatch, AWS CloudTrail, and AWS IAM.
• Optimized insights delivery, enabling faster reporting cycles and reduced manual data preparation.
Enabled 60% faster decision-making with self-service dashboards and reduced manual data prep by over 70%.
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