containerization , Storm, Orchestration, Cassandra, Kafka, Informatica, Spark Core, Azure Cloud, Sqoop, Talend, Python, Java, Flume, Scala, Dynamodb, HBase, Kubernetes, Big Data Architecture Patterns, Flink, Pub Sub, Big Table, CI CD pipelines, Pulsar, NiFI

snowflake , Data Governance, Databricks, Azure, ELT, Etl, AWS, AI frameworks

Kafka, Sql, Spark, Python, AWS, Data Modeling, Dimensional Modeling, dbt, Incremental and idempotent transformation patterns, ETL/ELT pipelines, CDC-based ingestion, Slowly changing dimensions

data engineering , amazon web services aws , containerization , Pyspark, Data Architecture, Data Warehousing, Docker, Data Visualization, Spark, Databricks, Python, Kubernetes, Cloud-native data engineering, ETL processes, Azure Data Engineering, Data platforms, Data pipelines

Hive, Hadoop, Sqoop, Hql, Pyspark, Scala, Spark, Shell Scripting, Python, Sql, HDFS

Glue), Informatica Intelligent Cloud Services (IICS), AWS Services (S3, Github, Sql, Data Quality, Git, Data Warehousing, Informatica Powercenter, Redshift, ETL Data Integration, CI/CD Basics, Relational Databases, Unix/Linux Shell Scripting, Tableau or other BI Reporting Tools, Data Validation

data engineering , snowflake , Distributed Systems, Kafka, Spring Boot, Microservices, Docker, Python, Java, Apache Spark, Gcp, Data Lake, Databricks, Rest Apis, Azure, Kubernetes, Infrastructure as Code, Real-Time Streaming Platforms, Flink, Vector Databases, Event-Driven Architectures, Data Governance and Lineage, RAG Architectures, Generative AI, Lakehouse architectures, Multi-Agent Orchestration, Iceberg, Agentic AI, Delta Lake, CI CD platforms, Prompt Engineering

Power Bi, Azure Sql, Sql, Python, Microsoft Fabric