Java, Spark, SQL Server, Kafka, Unix Shell Scripting, Oracle, Python, Sql, AWS, Etl, Data Bricks

state management , Orchestration, Data Architecture, Python, AWS, Java, Data Quality, embeddings, tool calling, lineage, PII controls, LangGraph, retrieval, guardrails, evaluation monitoring, metadata, LangChain, Indexing, GenAI systems, EKS, retries, agentic workflows, lakehouse data platform, idempotent pipelines, backfills, RAG, Governance

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

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

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

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

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