S3, Github, Performance Tuning, Agile Development Methodologies, Pyspark, Emr, Redshift, Sql, ELT, Lambda, Git, Iam, Data Warehousing, Python, Etl, AWS Data Services, Glue, Optimization of Spark applications, Athena

Kafka, API design, Data Modeling, Microservices, ELT, Distributed Systems, Python, Java, BigQuery, Hadoop, Data Quality, Hive, MLops, Spark, Data Governance, Databricks, Fault Tolerance, Kubernetes, Etl, Airflow, GenAI, LLM tooling, event-driven patterns, asynchronous processing, cloud-native practices, observability, Big Data ecosystem, HDFS, Delta Lake, CI/CD

ELT, Cloud Storage, Python, Ml, Google Cloud Platform, Sql, Devops, Git, Data Governance, Etl, Data Streams, Airflow, GenAI, Data engineering services, Google BigQuery, Data Flow, Cloud Composer, API integrations, Informatica CDC, data observability, Ai, data fusion, dbt, CI/CD

Git, Pyspark, Databricks, Azure, Sql, Python, AWS

Gcp, Pyspark, Azure, Python, Sql, AWS

Python, Databricks, Pyspark, Etl

Python Scripting, Apache Spark, Sql, Apache Airflow, Git, Azure Data Factory, MLops, Data Modelling, Azure, AWS, AWS Step Functions, ETL ELT frameworks, NoSQL systems, CI CD practices

Data integration and ETL concepts, Data governance and quality assurance practices, Building and managing scalable data pipelines and workflows, Microsoft Azure Databricks, Cloud-based data storage and processing solutions