distributed caching , Java EE, Unix, Bdd, Design Patterns, Angularjs, Kafka, Application Integration, Microservices, Angular, Extjs, Nosql, Databases, JUnit, Core Java, AWS, Java, Hadoop, Apache Spark, Object Oriented Design, Sql, Spring, REST, Linux, Elastic Search, MongoDB, Azure, Caching, Architecture, Data management through vendor feeds, Services Oriented Architecture, Gen AI tooling

UDP, Tcp, C, Numpy, Distributed Systems, Python, multi-threaded application design, memory subsystems, scikit-learn, low latency messaging, caches, Linux latency tuning, CPU microarchitecture, data-science packages, lock-free data structures, micro-optimizations

Azure, Databricks, Data Lineage, Hadoop, AWS, Data Architecture, Spark, data lake technologies, ML solutions, context engineering, RAG fine-tuning, data quality frameworks, analytics platforms, ETL processes, AI solutions

Hadoop, Data Lineage, Data Architecture, Spark, Databricks, Azure, AWS, Context engineering, ML solutions, RAG fine-tuning, ETL processes, Data quality frameworks, Data lake technologies, AI solutions, Analytics platforms

data warehouses , Power Bi, Tableau, Sql, Rest Apis, Python, Data Analysis, Stored procedures, Data Validation, Reporting and dashboard tools, ETL processes, Relational database management systems

Power Bi, Tableau, Rest Apis, Python, Sql, ETL processes, Data Mapping, Reporting Solutions, Data Validation

Scrum, automation, Jira, Agile planning, metrics dashboards, Agile delivery, roadmap management, Scrum of Scrums, delivery data quality, delivery governance, AI-driven solutions

graph databases , Pyspark, Dimensional Modeling, Data Modeling, Sql, Neo4j, Python, GraphDB, Stardog, Medallion Architecture, Iceberg, RDF Ontology modeling, large-scale ETL frameworks, cloud-native data architectures, Delta Lake, data product design, distributed data processing, Knowledge Graph, Data Quality Rules