End-to-End Sales Data Management and Analytics

Created on Feb 28, 2025

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Skills:

• Databases & Data Engineering: MariaDB, MongoDB, SQL, JSON
• Cloud & Infrastructure: AWS EC2, Peer-to-Peer Clustering (Galera)
• Automation & Optimization: Stored Procedures, Triggers, ETL, Replication
• Data Analysis & Modeling: Indexing, Transactions, Views, NoSQL, Aggregation Pipelines

Project Overview:

This project involved designing and managing a database system to track customer orders, products, and sales data. The solution combined MariaDB for transactional operations and MongoDB for analytical queries, showcasing the power of polyglot persistence. The system handled large data volumes, supported high write loads, and automated complex updates to ensure data consistency.

Key Contributions:

• Automated Data Updates: Reduced data update time by 98% by implementing stored procedures and triggers in MariaDB, enhancing system efficiency.
• Scalability & Performance: Demonstrated system scalability by implementing peer-to-peer clustering in AWS EC2 with Galera, handling high write volumes seamlessly.
• Data Analysis & Insights: Extracted valuable insights on customer behavior, fraud detection, and inventory management by analyzing JSON documents in MongoDB, driving strategic decision-making.
• Database Design & Optimization: Evaluated relational vs. NoSQL databases, selecting the optimal storage strategy for both transactional and analytical workloads.
• Data Integrity & Reliability: Implemented transactions, prepared statements, and replication to ensure data accuracy, prevent SQL injection, and build a fail-safe architecture.

Results and Impact:

• Achieved near-instant data updates and minimized manual intervention through automated processes.
• Enabled real-time analytics by structuring data into JSON documents for MongoDB, supporting complex business queries.
• Ensured high availability and fault tolerance with database replication, protecting data against server failures.

Learnings and Takeaways:

• Gained hands-on experience managing end-to-end data workflows, from ingestion and transformation to storage and analysis.
• Learned the trade-offs between relational and NoSQL databases, understanding when to leverage each for different use cases.
• Developed a deeper appreciation for distributed systems, exploring how clustering and replication enhance database performance and reliability.