Passionate about building efficient, scalable systems. Experienced in Python, ReactJS, data structures, algorithms, and databases (PostgreSQL, Redis, Kafka, Elasticsearch). Focused on optimizing data storage, caching, and real-time processing. Loves exploring new technologies and improving system reliability and speed.
Download CVDatabases are the backbone of modern applications, but without proper care, they can turn into sluggish bottlenecks. Whether you’re running a small app or a massive enterprise system, optimizing your database is key to keeping things fast, efficient, and scalable. Let’s explore some proven techniques to supercharge your database performance, from clever indexing to query tuning and beyond.
Apache Kafka is a distributed streaming platform renowned for its ability to process massive data volumes with high throughput, scalability, and fault tolerance. At its core, partitions govern how Kafka manages, distributes, and delivers data. In this blog, we’ll explore how partitions work, how messages flow through them to consumers, and why they’re critical to Kafka’s success. We’ll also dive into partitioning strategies with real-world scenarios, drawing inspiration from Confluent’s insights on Kafka partition strategies.
• Collaborated with the Project Manager to enhance the
technical direction of the product
• Led and mentored a team of junior engineers, implementing
structured onboarding and code review processes
• API design and system scalability, helping the team adopt
PostgreSQL indexing and Redis caching
• Collaborated with cross-functional teams and product
managers to align technical solutions with business goals
• Developed and maintained high-quality code to ensure maintainability, scalability, and efficiency • Participated in the development and implementation of best practices for coding, testing, and deployment • Integrated Redis caching to improve API response times, decreasing database load by 35% • Contributed to the development of technical documentation, including API documentation and system architecture diagrams • Participated in code reviews, providing feedback to ensure adherence to best practices
• Collaborated with cross-functional teams to design, implement, and optimize APIs
• Engineered internal software services to facilitate the secure and efficient transmission of customer data to sleep experts
• Spearheaded the creation of backend components for a cutting-edge Sleep Insights & Recommendation system
• Provided assistance and advice on the definition of system requirements and database design