data engineering , Api Integration, Sql, Python, Data Warehousing, R, AI algorithms, On-premise systems, Data pipelines, data models

Data Privacy, Data Warehousing Concepts, Api Integration, Sql, Python, Security, R, Data consolidation, Agile frameworks, On-premise systems, and governance

snowflake , Ocr, Sql, BigQuery, AWS, FastAPI, Python, Neo4j, Gcp, PostgreSQL, OpenAI, Airflow, Prefect, Dagster, Anthropic

Data Governance, Data Lineage, Python, Metadata Management, Pandas, Data Transformation, Distributed Systems, FastAPI, Rest Apis, Apache Iceberg, LangGraph, Pydantic, Trino, Observability, Monitoring, LangChain, Parquet, DuckDB, Microservices patterns, Data ingestion, dbt, CI/CD, tracing, SDKs, Event-driven architectures

Cloudformation, Apache Spark, Azure ML, Gcp, Docker, Terraform, Databricks, Azure, Kubernetes, AWS, Airflow, GANs, Generative AI, LLMs, MLflow, SageMaker, Vertex AI

Sql, Performance Monitoring, Release management, Python, Advanced search solutions, Enterprise data governance, Deployment automation, Cloud ecosystem, Backend data architecture, Distributed data processing frameworks, Data ingestion and transformation pipelines, Enterprise cloud security, Incident resolution, Security and compliance standards, CI/CD workflows

snowflake , Pyspark, Spark, Artificial Intelligence, Cloud, Etl, Kafka, Airflow

data engineering , Databricks, Sql, Data Governance, SAP, Data Quality, Python, Metadata Management, responsible AI principles, auditability, Spark-based processing, Teamcenter, business intelligence, Celonis, Salesforce, data contracts