S3, Github, Pyspark, Lambda, Ec2, Kinesis, Docker, Shell scripting, Python, AWS, Scala, Redshift, Sql, Git, Kubernetes, GenAI, Airflow, AI coding assistants, LLM tools, RAG pipelines, LangChain, prompt engineering, dbt, Glue, LlamaIndex

Databricks, Python, Sql, Orchestration, cloud-based data platforms, CI CD, data pipeline development, ETL ELT workflows

S3, Hadoop, Pyspark, PostgreSQL, Scala, Apache Spark, Svn, Autosys, Sql, HTML, Git, Hive, Elasticsearch, Databricks, Python, Unix Shell Scripting, Airflow, AWS EMR, ETL pipelines

bigtable , BigQuery, Performance Tuning, Hadoop Ecosystem, Pyspark, Apache Spark, Data Modeling, Dataproc, Sql, ELT, Data Integration, DataFlow, Python, Etl, Cloud Functions, Optimization of large-scale data processing workloads, Cloud Composer, Google Cloud Storage, Pub/Sub

Pyspark, Sql, Azure ML, Azure Synapse, Azure Data Factory, Databricks, Azure DevOps, FiveTran, GCP Cloud Composer, Vertex AI, GCP BigQuery, GCP Cloud Run, GCP DLP

Cloud-native data architectures (Azure preferred), Azure Data Factory, Pyspark, Databricks, Python, Sql, Apache Airflow, Adf, Azure Logic Apps, Delta Lake, Event triggers, LLM data pipelines, Orchestration frameworks, MLflow, ADLS Gen2 Blob Storage, ETL/ELT patterns

Aws Lambda, Aws Redshift, AWS Glue, AWS Athena, Sql, ELT, Apache Airflow, Bitbucket, AWS IAM, Gitlab, Python, AWS, Aws S3, Etl, AWS Step Functions, AWS Lake Formation, AWS SageMaker

snowflake , Apache Airflow, Pyspark, Amazon Kinesis, Apache Kafka, Python, Sql, Delta Lake on Databricks, Data Quality Validation, Databricks Workflows

snowflake , BigQuery, Git, Redshift, Python, Sql, Java, Incident Response, Kafka, Spring Boot, Synapse, dbt, Looker, LookML, Data-quality observability, Confluent, Streaming systems, CI/CD, Pub/Sub, Data contracts, Event-driven architectures