monte carlo , Sql, Databricks, Pyspark, Kafka, Gcp, Terraform, Git, Data Modeling, Kinesis, AWS, Python, Azure, ML pipelines, Feast, dbt, Delta Lake, Spark Structured Streaming, Databricks Feature Store, Databricks Workflows, Genie AI Functions, Tecton, Great Expectations, MLflow, dimensional design, Unity Catalog, RAG architectures

Java, Kafka, Emr, Lambda, ECS, Spark, Data Lake, Databricks, Python, AWS, Airflow, EKS, AI-assisted development, data orchestration

React, Terraform, Docker, Kubernetes, Python, AWS, Data Pipelines, Go, AI-assisted tooling, Analytics Systems

Scala, C, Java, Python, Apache Spark, Javascript, streaming data pipelines, big data systems

Java, Ml, Express, Nodejs, Kafka, Spring, Neo4j, Cloud, Apache Beam, AWS, Vertex AI search, LLMs, GenAI technologies, AI technologies, Flink, semantic search, RAG, Knowledge Graph, AWS cloud search

data engineering , Data Governance, Sql, ELT, Kinesis, Kafka, Rest Apis, Etl, Python, Graphql, Mulesoft, Marketing Cloud Personalization, Ai, Data 360, Agentforce, Salesforce Data Cloud, Cloud Integrations

testing practices , architectural patterns , System Design, Coding Standards, Software Development, Distributed Systems, Apis, semantic search, GraphRAG, ontologies, schema governance, AI-enabled platform capabilities, integration solutions, evidence-based reasoning, AI-driven systems, semantic models, Retrieval pipelines, embeddings, RAG, versioning practices, hybrid search, taxonomies, knowledge graphs, knowledge bases, Knowledge Representation, data systems, Data Validation

Java, Golang, Cloud, Docker, Kafka, Kubernetes

Java, Solr, Kafka, Kdb, Redis, Sql, Gcp, Elasticsearch, MongoDB, Python, AWS, Airflow, Arrow, Apache Parquet, Iceberg

Sbt, Java, Github, Maven, Gradle, Distributed Systems, Linux, Nexus, Kubernetes, Python, Docker, Big Data, Scala