data engineering , Java, Devops, Sql, Python, Integration Engineering, Ai, CI/CD, ontologies, Knowledge Graphs

data engineering , Distributed Computing, Database Management, Data Governance, ETL process design, Security best practices, Data pipeline architecture, Data storage solutions, Cloud-based data platforms

snowflake , Data Modelling, Data Migration, Data Warehousing, Python, facts, Performance Optimization, Data Pipelines, Operational support frameworks, Dimensions, Medallion Architecture, Root-cause analysis, Metadata artifacts, CI CD processes, Data dictionaries, Reporting Datasets, STTM documents, Enterprise data products, Stored Procedures, RRDs, Reconciliation testing, Data quality governance, Data Validation

Kafka, Mongo Db, Cursor, Spark Streaming, Cosmos DB, Python, Azure Search, Claude, Azure Data Lake Storage, Databricks Assistant, Azure Event Hubs, Azure SQL Server

Performance Tuning, Apache Spark, Data Modeling, Sql, Fault Tolerance, Python, Data Lakes, data transformation best practices, Lakehouse architectures, CI CD, Microsoft Fabric, distributed data processing

Gcp, Pyspark, Azure, Python, Sql, AWS

snowflake , S3, Power Bi, Pyspark, Sql, Lambda, Databricks, Python, AWS, Apache Iceberg, CI CD, Glue, Athena

Pyspark, Amazon S3, AWS Glue, Lambda, Python, Api Gateway, Apis, Sql, Git, Cloudwatch, Iam, FastAPI, Amazon SageMaker Unified Studio, httpx, Airflow, Amazon Athena, Secrets Manager, requests, EventBridge, OAuth 2.0, Step Functions, Lake Formation, boto3, AWS data stack, CI/CD

BigQuery, Pyspark, Apache Spark, Dataproc, Sql, ELT, Cloud Storage, Git, Gcp, DataFlow, Python, Etl, Airflow, cloud security best practices, CI CD, Pub Sub, Cloud Composer, data quality monitoring