Pyspark, Apache Spark, Azure Databricks, Python, Devops, Machine Learning, Sql, Generative AI, RAG frameworks, Azure Synapse SQL Server

Java, Dependency Injection, BigQuery, Apache Flink, Google Cloud Platform, Linux, PostgreSQL, Kubernetes, Sql

data engineering , snowflake , Hadoop, PostgreSQL, Kafka, Data Integration, ELT, Apache Airflow, Nosql, Spark, Databricks, Data Warehousing, Data Governance, Azure, Oracle, Python, Etl, AWS, Flink, Teradata

Java, S3, Scala, Emr, Redshift, Sql, Lambda, Kinesis, Spark, Python, AWS, Step Functions, Lake Formation, Glue, Athena

Spark SQL, Gcp, Databricks, Azure, Python, AWS, Medallion Architecture, Delta Live Table

data discovery , Performance Tuning, Kafka, Data Modeling, Slas, Data Lineage, Python, Google Cloud Platform, Clustering, Sql, Metadata Management, Data lakehouse principles, Streaming architectures, Google BigQuery, Partitioning, Data pipelines, Parquet, Incremental processing, Feature engineering workflows, Dimensional models, Data quality and observability practices, SLOs, Google Cloud Storage, Pub/Sub, Data versioning

data engineering , data warehouses , Yaml, Orchestration, Data Modeling, ELT, Databases, Software Development, Terraform, Cicd, Python, Big Data, Automation, Sql, Etl, Azure Pipelines, Infrastructure as Code, Alerting, Data Pipelines, IaC tools, Custom APIs, Cloud Platforms, Monitoring, Product Design

Pyspark, Databricks, Python, Sql, Data Pipelines, CI CD

Cognite Data Fusion (CDF), Api Integration, Data Modeling, Mssql, Sql, Git, Gcp, Rest Apis, Azure, Oracle, Python, Ocr, AWS, Sap Erp, Document AI, DataOps, CI/CD, Knowledge Graph Engineering, Mes, LLM-based extraction tools, ETL pipelines

Dimensional Modeling, Sql, Python, Performance Tuning, DWH Testing and Automation Frameworks, Airflow, Warehouse-native SQL Patterns, dbt