Pyspark, Python, Data Integration, Sql, Etl, Data Transformation, ACID-compliant data ingestion

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

Power Bi, Pyspark, Git, Azure Data Factory, Star Schema, Advanced Sql, Dax, Python, SAP data extraction, Automated data quality testing, Reconciliation, Microsoft Fabric, Dimensional data modelling

containerization , Dynamodb, Data Warehousing, Cloudwatch, Sql, Redis, Numpy, Lambda, Pandas, Batch, Spark, Flask, Python, Api Gateway, AWS, Step Functions, Polars, Metaflow

Data Modeling, Power Bi, Pyspark, Azure Databricks, Sql, Data Integration, ELT, Azure Data Factory, Terraform, Azure Synapse Analytics, Agile, Data Lake, Azure Cloud Services, Scrum, Data Governance, Python, Azure DevOps, Etl, CI CD Pipelines, Pipelines, Delta Lake

data warehouses , Performance Tuning, Schema Design, Data Modeling, Python, Sql, ELT, Etl, Data lakes, Cloud platforms, Data Processing

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

Apache Airflow, Docker, Scala, Apache Kafka, Apache Spark, Azure, Kubernetes, Sql, AWS

Java, Unix, BigQuery, Hadoop, Apache Spark, Big Data, Bash, Json, Dataproc, Sql, Microservices, Rest Api, Git, Hive, Gcp, Linux, DataFlow, Postman, Airflow, Pub Sub, Cloud Composer