data engineering , GenAI | RAG | LLM | Agentic AI ? MLOps / LLMOps | Production AI ? FastAPI / Flask | APIs | Docker | Kubernetes ? RAG, AWS, Azure, Gcp

S3, Aws Redshift, Pandas, Pyspark, AWS Glue, Python, Sql, Etl, ELT

data engineering , snowflake , Snowpipe, Kafka, ELT, Kinesis, Terraform, Streams, Python, AWS, Data Modelling, Collibra, Cloudformation, Sql, Devops, Databricks, Etl, Airflow, Dynamic Tables, Alation, Snowpark, Tasks, Git-based CI CD, dbt

Data Modeling, Pyspark, Kafka, ELT, Lambda, Python, AWS, Spark SQL, Streaming, Emr, Redshift, Sql, Jenkins, Data Quality, Git, Cloudwatch, Iam, Aws S3, Etl, Spark Structured Streaming, Lakehouse Architecture, CI CD, Security, GitHub Actions, Step Functions, Data Lakes, Schema Registry, Governance, Kafka Connect, Glue, Real-Time Data Pipelines

Hld, BigQuery, Unit Testing, Hadoop, Pyspark, Apache Spark, Google Cloud, User Acceptance Testing, Jenkins, Git, Hive, Tdd, System Testing, Shell scripting, Python Programming, Cloudera, AWS ecosystem, Hortonworks Data Platform, CDC operations, UNIX operating system concepts, Agile delivery model, AWS S3 Filesystem operations

Pyspark, JIRA, Sql, Devops, Git, Databricks, FastAPI, Python, Etl, ELT, CI/CD pipelines, AWS cloud services, Distributed data processing frameworks, Data lake architectures, NoSQL databases, Performance tuning and optimization, Automated deployment, Spark architecture

snowflake , Pyspark, Data Warehousing, Kafka, Data Modeling, ELT, Kinesis, Neo4j, Python, AWS, BigQuery, Scala, Apache Spark, Redshift, Sql, Gcp, Databricks, Rest Apis, Azure, Etl, cdc, Pub Sub, Reverse ETL, SCD

data engineering , snowflake , Hadoop, Linux, Apache Spark, Azure, Python, Etl, AWS, MySQL, Sql