Lead Linux Engineer

RetailHub India

Automating Academic Publishing Workflows

Client Industry: Academic Publications

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Our Challenge

RetailHub is a large online marketplace in India. Their data warehouse couldn’t handle massive transaction logs, click‑stream data and social media analytics. Reports took hours to generate, hindering agile decision‑making.

Solution & Steps.

  1. Data Architecture Redesign. Designed a data lakehouse on AWS using S3 for storage and Lake Formation for governance. Applied Data Vault modeling for auditability.
  2. Big‑Data Processing. Implemented Apache Spark on EMR for batch and streaming workloads and Apache Kafka for ingesting click‑stream data.
  3. Analytics & BI. Deployed Tableau dashboards for business users and built custom ML models in SageMaker to predict customer churn. Ensured data quality and lineage.
  4. Migration & Training. Migrated historical data and trained internal teams on pipeline management.

Results.

Report generation times decreased from eight hours to minutes. Predictive analytics increased customer retention by 15 %, and the scalable architecture allowed ingestion of billions of events daily.

Business Impact Result

Results & Benefits

  • Reduced average incident resolution time from 4 hours to 35 minutes
  • Eliminated 90% of after-hours emergency calls
  • Cut monthly maintenance time by 60%
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"The Linux administration team became true partners in our operations. Their proactive approach prevented crises before they impacted our researchers, and their documentation finally gave us clarity about our own systems."
Miroslav
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