Data Governance, Distributed Systems, Python, Design Patterns, Agile Methodologies, Public Cloud engineering concepts, observability, Database Internals

data engineering , Java, Data Modeling, Data Structures, Microservice Architecture, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Distributed Processing Frameworks, Retrieval Optimization, Flink, Cloud-native Environments, Embeddings, Re-ranking, Semantic Layer Design

graph databases , snowflake , Github, Big Data Technologies, Redshift, Sql, Apache Airflow, Jenkins, Python, AWS, hybrid Data Lake and Data Warehouse architectures, LLMs, AI coding assistants, RAG Retrieval-Augmented Generation systems, dbt, agentic workflow automation, ELT methodologies

Java, Design Patterns, Scala, Spark, Kafka, data structures, Python, object-oriented design, Trino, Flink

Python, Sql, Git, Pyspark, Palantir Foundry

Data Architecture, ELT, Cloud Storage, Python, Cloud Services, BigQuery, Api Development, Testing, Software Delivery, Sql, Gcp, Powerbi, DataFlow, Etl, Apptio BI, self-service data access, data visualization tools, stream processing frameworks, Pub Sub, Cloud Composer, Relational Databases, data quality monitoring, Data Processing, data risk management, DataOps engineering, Troubleshooting, QA testing methodologies, security processes, compliance terminology, Governance

sonnet , Pyspark, Artificial Intelligence, Apache Airflow, Software Development Life Cycle, cloud, Python, AWS, Java, Machine Learning, Testing, Scala, Application Development, Sql, System Design, Databricks, Agile Methodologies, Opus, Security, Claude models, Application Resiliency, Claude Code, Mobile, operational stability, GitHub Copilot, Agentic AI, Haiku

Hadoop, Etl Development, Scala, Data Modeling, Dataproc, Hive, Presto, Big Data Technologies, Spark, DataFlow, Azure, Python, AWS, Big Query, Airflow, Data lake architecture, Cloud Composer, GCS, GCP technologies