Cloud Services, Amazon Web Services, RDS, Dynamodb, Kafka, Cloudwatch, Devops, Kms, Ec2, Terraform, Iam, ECS, Cicd, Gitlab, API Gateways, Aurora, Kong

data engineering , Continuous Integration, DevSecOps, Continuous Deployment, Agile Methodologies, Python, Sql, R

Java, Spring Batch, Elasticsearch, Spark, Kafka, Sql, Kubernetes, Python, Airflow, dbt

data discovery , Google Cloud Platform, Kafka, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, Parquet, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, AI ML use cases, Google Cloud Storage, Data pipelines, Data versioning

secure coding , Spring Batch, Sql, Data Modeling, Java, Python, Elasticsearch, Airflow, dbt

Sql, Data Modeling, Java, AWS, Etl, Spark SQL, Python, Azure, Data Transformation, oci, LLMs, Claude, agent frameworks, prompt engineering, ChatGPT

Spark, Sql, AWS, Python, Azure, Gcp, ClickHouse

snowflake , Java, Cloudformation, Scala, Automated Testing, Sql, Gcp, Terraform, Spark, Databricks, Azure, Python, AWS, Apache Iceberg, Infrastructure as Code, CI CD, observability