Apache Airflow, Spark, Apache Beam, Python, Data Platform Management, Data Layer Design, dbt, Google Cloud Ecosystem, Google Cloud Services, Data Pipeline Development

snowflake , Data Transformation, ELT, Sql Queries, Data Cleansing, MS SQL, Views, Etl, complex joins, data processing pipelines, stored procedures, temporary tables, Data Validation, CTEs

Scala, Hiveql, Pl Sql, Sparksql, Ddl, Python, Sql, AWS Infrastructure, MDX, KornShell

snowflake , Sql Queries, Pyspark, Python Programming, Databricks, AWS, HCP and HCO data management, Azure blob storage, CDW Commercial Data Warehouse

tokenization , Spark SQL, Apache Spark, Git, Ocr, Python, Hugging Face Transformers, Text Extraction, PDF Parsing, Vector Databases, Document Chunking, Data pipelines, CI CD practices, Text Processing, NLP concepts, ETL workflows, HTML Parsing

Java, Scala, Pyspark, Apache Spark, Sql, Git, Gcp, Data Lake, Etl Tools, Data Warehousing, Databricks, Azure, Aws S3, AWS, Delta Lake, GCP BigQuery, Lakehouse architecture

Amazon Redshift, Pyspark, Databricks, Pulumi, Sql, AWS, Iceberg, Airflow, AWS CDK, dbt, Delta Lake

Cloud Storage, Gcp, Spark, DataFlow, Python, Sql, ELT, Etl, Cloud Composer, Google BigQuery, Looker

, bigtable , Dataproc, Sql, Apache Airflow, Apache Spark, Kafka, BigQuery, MySQL, Hive, FastAPI, Python, Gcp, Flask, MongoDB, Cloud Composer, Google Pub Sub, MCP AI Platform Engineering

Aws Rds, Rdbms Concepts, Python, Data storage Data Lake Data Warehouse Data Lakehouse, Data ingestion ETL ELT streaming batch pipelines, Basic knowledge of MongoDB data querying and data export, Database fine tuning for better performance, Database Capacity Planning, Support development team in Query optimization, Writing SQL queries DDL DML DQL DCL using MySQL