data discovery , Metadata Management, Kafka, Slas, Data Modeling, Python, Data Lineage, Google Cloud Platform, Sql, Query Optimization, Data Quality, Clustering, cdc, data pipelines, observability practices, dimensional models, Google BigQuery, data versioning, Pub Sub, data lakehouse principles, streaming architectures, Parquet, SCDs, AI ML use cases, SLOs, partitioning, Google Cloud Storage

data engineering , stream processing , Pyspark, Databases, MYSQL, Tableau, JIRA, Sql, Unit Test, Git, End To End Testing, Confluence, Debugging, Databricks, AI tools, data pipelines, Databricks dashboarding, Optimization Skills, key-value stores, blob stores, delta live tables

snowflake , Terraform, Snowpipe, Kafka, Sql, Python, Airflow, cdc, dbt

BigQuery, DataFlow, Talend, Python, Sql, ELT, Etl, Pub Sub, dbt

Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake

Apache Spark, Databricks, Python, Sql, Delta Lake, Azure-based cloud data environments

Google Cloud Platform, Pyspark, Apache Spark, Azure, Python, Sql, AWS

snowflake , PostgreSQL, BI, Informatica, Data Migration, Python, AWS, Pyspark, Ml, SQL Server, Redshift, Sql, UNIX, Linux, Powerbi, MongoDB, Data Warehouse, Aws S3, Etl, Fivetran, Ai, Looker, Cloud Data Warehouse, dbt, Hyperion

Java, Ml, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Ai, Warehousing, ETL pipelines

data engineering , snowflake , Qlik Sense, Power Bi, Data Warehousing, Tableau, Dimensional Modeling, Sql, ELT, Testing Frameworks, Etl, Monitoring, operational best practices, data quality controls, AI-assisted development tools, Large Language Models