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

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

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

AWS Analytics, data pipeline architecture and design, ETL processes and tools, data warehousing concepts and technologies, data quality frameworks and best practices

snowflake , S3, Kafka, ELT, RDBMS, Ec2, Python, Data Transformation, Pyspark, RDS, Aws Services, Emr, Sql, Spark, Databricks, Etl, Advanced Web-crawling, Building end-end Data Engineering pipelines, Scraping methods and tools, Kafka Streaming, Github actions, Glue, SQL Data warehouse, Workflow automation

Database Security, Data Modeling, Sql, ELT, High Availability, Backup Recovery, Etl, Source Control, stored procedures, Monitoring, CI CD, database change management, relational database expertise, cloud data platforms, database-as-code practices, automated migrations

data engineering , Data Science, Machine Learning, Python, Data Pipelines, Data Processing, Code Quality

Metadata Management, Data Warehousing, Data Modeling, Azure Functions, Azure Data Lake, Python, Dimensional Modeling, Azure Data Factory, Spark, Data Governance, Advanced Sql, security principles, enterprise-scale data pipelines, CI CD, Snowpark, AI ML integration patterns, API integrations, Data Mesh, RAG architectures, domain-oriented data architecture principles, DevOps practices, Snowflake Cortex, Snowflake Data Cloud, dbt, Generative AI LLMs