Tensorflow, BigQuery, Pandas, Pytorch, Docker, Spark, Kubernetes, Python, Sql, scikit-learn

Java, Tableau, Kafka, Spark Streaming, Gcp, Helm, Scala, Apache Airflow, Apache Flink, Data Modeling, Apache Spark, AWS, Data Quality, Kubernetes, Python, NoSQL databases, Metabase, Delta Lake, Apache Pinot, data validation tools, Apache Druid, Superset, Go, ClickHouse, Apache Ranger, Apache Iceberg, Apache Hudi

Java, Python, Kafka, Spark, ClickHouse, Apache Pinot, Apache Iceberg, Kafka Streams, Go, Flink, Druid

snowflake , Databricks, Emr, Distributed Systems, Tensorflow, Apache Spark, Presto, Kafka, Pytorch, Kubernetes, Docker, Terraform, Airflow, MLOps tools, Ray, Kubeflow, dbt, Infrastructure-as-Code, Flink, Data platforms, Real-time streaming architectures, Model serving, LLM hosting, Trino

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools and Technologies, ETL pipelines

Apis, Kafka, Microservices, Distributed Systems, Mulesoft, AWS, AWS Bedrock, MCP patterns, streaming systems, AI platforms, enterprise integration platforms, data quality requirements for AI-driven systems, agent-based patterns, cloud-native architectures

data engineering , snowflake , Ml, BigQuery, Redshift, Neo4j, Databricks, Azure, AWS, LangChain, Ai, LangGraph

data engineering , Java, S3, Data Modeling, Hadoop, Scala, Nodejs, Emr, Redshift, Sql, Hive, Ec2, Big Data Technologies, Spark, Python, AWS Tools, ETL Pipelines

Technical Architecture, AI Machine Learning, Generative AI LLMs RAG, Data Engineering Data Pipelines, MLOps DevOps, Cloud Platforms Azure AWS GCP, Agile Scrum Delivery, Agentic AI Frameworks

snowflake , AWS, Databricks, Sql, ELT, Etl, Python, Pyspark, Spark, GenAI