Github, BigQuery, Google Cloud Platform, Sql, Apache Airflow, Cloud Storage, Terraform, Python, dbt Core, Prefect, Cloud Composer, dbt Cloud

Spark SQL, Pyspark, Data Warehousing, Sql, Dimensional Modeling, Gcp, Azure, Python, AWS, Airflow, CI/CD tools, Cluster administration, Delta Live Tables, Unity Catalog, Databricks Lakehouse Platform, ML productionization, Delta Lake, Databricks Workflows, Git-based CI/CD

semantic modeling , Pyspark, Azure Databricks, Sql, Git, Azure Data Factory, Pandas, FastAPI, CI CD Pipelines, Metrics Layer design, NoSQL concepts, Databricks workflows, Azure Data Explorer, Delta Lake

Pyspark, Scala, Kafka, Azure Databricks, HBase, Sql, Mapreduce, ELT, Big Data Technologies, Hive, Azure Functions, Spark, Data Lake, Python, Etl, Lakehouse, Event Hubs, Delta Lake

Aws Services, Prometheus, Shell Scripting, Grafana, Linux Administration, Git, Docker, Terraform, Ansible, Openshift, Gitlab, Databricks, Kubernetes, Python, RKE2, Airflow, Amazon EKS, Elastic Stack, Rancher

Infrastructure as Code (IaC) using CloudFormation, Java, Cloudwatch, Docker, ECS, Python, Large-scale systems design, AWS Developer certification, Realtime Services framework, EKS

Performance Tuning, Data Modeling, Query Optimization, Snowflake Data Warehouse, ETL processes, Data validation techniques, Database design principles, Cloud-based data storage and processing

snowflake , Aws Lambda, BigQuery, Agile Methodologies, Emr, Redshift, Sql, Spark, Python, GCP Dataflow, Pub Sub, Glue

snowflake , Exploratory Data Analysis, Terraform, Sql, Python, Automated Testing, Data Quality Checks, GitHub Actions, CI/CD pipelines, dbt, Data Analysis

snowflake , Github, S3, RDS, Aws Services, Data Warehouse Concepts, PostgreSQL, Sql, Apache Airflow, Amazon Redshift, Iam, Gitlab, Python, Dimensional Modelling, Google BigQuery, AI-assisted development tools, dbt