About me

Experienced Big Data Architect with deep expertise across the data ecosystem, delivering scalable, robust, and user-centric solutions tailored to business needs. Proven track record in designing and implementing end-to-end architectures using a range of distributed technologies, with hands-on proficiency in Scala and Python. 💼 Technical Strengths • Extensive experience with Big Data platforms including HDFS, Apache Spark (batch & streaming), Kafka, Hive, HBase, Elasticsearch, Sqoop, Flume, Oozie, and MapReduce. • Skilled in crafting modular frameworks and reusable pipelines for real-time analytics, sentiment analysis, log processing, and event-driven architectures. • Adept at leveraging Java/Scala for high-performance backend development, with supplementary Python skills for rapid prototyping and API integration using FastAPI and Flask. 🏗️ Architectural Expertise • Designed and optimized scalable data lake and warehouse solutions with a focus on fault tolerance, job orchestration, and efficient resource utilization. • Hands-on experience architecting multi-layered data systems using Spring Boot, Spark Structured Streaming, and active job queues • Proficient in balancing simplicity and scalability, ensuring that architectural decisions align with operational efficiency and evolving business goals.