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Data Systems Scala Developers

Pioneered database internals and distributed systems design. Advanced knowledge in operations and systems design using AWS.

• Pioneered database internals
• Expert in distributed systems design
• Advanced AWS operations knowledge

Engineered large-scale data processing systems using Spark and Scala for big data analytics. Optimized storage solutions with Apache Iceberg to enhance query performance.

• Engineered large-scale data processing systems
• Optimized storage with Apache Iceberg
• Enhanced query performance in big data analytics

Specialized in building real-time data pipelines using Kafka and Scala for analytics platforms. Implemented Kubernetes orchestration to streamline deployment of microservices for backend systems.

• Built real-time data pipelines with Kafka
• Implemented Kubernetes orchestration
• Streamlined microservices deployment

Designed and implemented distributed backend systems for cloud platforms using Scala and Java. Specialized in optimizing real-time data processing pipelines on AWS and GCP.

• Built scalable cloud services on AWS and GCP
• Optimized real-time data processing pipelines
• Designed distributed backend systems

Engineered backend services with a focus on microservices architecture using Golang and Java. Developed high-performance APIs with Gorilla Mux and Gin.

• Engineered microservices architecture
• Developed high-performance APIs
• Focused on Golang and Java backend services

Specializes in building resilient real-time data pipelines using Scala and Spark, deployed on AWS infrastructure. Developed distributed systems leveraging ZIO for fault tolerance and concurrency management in cloud environments.

• Architected real-time data pipelines on AWS
• Implemented distributed systems with ZIO
• Optimized Spark jobs for large-scale data processing

Architected advanced AI/ML pipelines for predictive analytics using Databricks and Snowflake. Optimized data architecture to support large-scale data processing and storage.

• Architected AI/ML pipelines for predictive analytics
• Optimized data architecture
• Supported large-scale data processing and storage

Developed large-scale data processing systems using Scala and Spark. Specialized in building distributed systems for big data analytics.

• Built distributed big data analytics systems
• Specialized in Scala and Spark
• Developed large-scale data processing systems

Specializes in building data platforms using distributed systems like Hadoop and Spark. Developed ETL pipelines and real-time streaming applications with Airflow. Optimized large-scale data processing workflows, enhancing performance and reliability.

• Built ETL pipelines with Airflow
• Optimized Spark for large-scale processing
• Developed real-time streaming applications

Developed backend systems with Rust and Go for high-performance computing. Expert in implementing cross-platform solutions with C++ and Python.

• Built high-performance systems with Rust
• Developed cross-platform solutions
• Optimized C++ and Python applications

Led the development of RESTful services using Scala and Http4s, focusing on high concurrency. Implemented reactive systems with FS2 to handle streaming data efficiently. Developed APIs with Circe for JSON handling in distributed environments.

• Integrated Cats for functional programming enhancements
• Designed scalable microservices architecture with Go
• Implemented custom serialization with Circe

Conducted research in flight data analysis, focusing on system and data analysis techniques. Designed experiments for data-driven insights and implemented solutions in Python and Matlab. Published findings in peer-reviewed journals.

• Researched flight data analysis
• Published in peer-reviewed journals
• Implemented solutions in Python and Matlab

Designed full-stack applications with Go, Python, and Rust. Expert in building scalable backend systems and integrating TypeScript for frontend solutions.

• Built full-stack applications
• Integrated TypeScript in projects
• Optimized Rust backend systems

Designed high-throughput event-driven systems using Akka and Apache Kafka for real-time data processing. Developed a distributed microservices architecture leveraging gRPC and ZIO for fault-tolerant applications. Spearheaded integration of change data capture with Debezium, enhancing data consistency across services.

• Architected scalable event-driven systems with Akka and Kafka
• Implemented microservices architecture using gRPC and ZIO
• Integrated Debezium for change data capture
• Optimized real-time data pipelines