Github, Azure Synapse, Scala, Apache Spark, Sql

Python

snowflake , S3, Pyspark, Kafka, Lambda, Docker, Terraform, Python, AWS, BigQuery, Redshift, Sql, Iam, Spark, Databricks, Kubernetes, Spark Structured Streaming, Airflow, AWS Step Functions, Trino, NoSQL databases, EKS, dbt, Glue, Athena

Unix, Logstash, Kafka, Dns, Http, Jira, Google Cloud, Apache Nifi, Jenkins, Git, Terraform, Linux, Ansible, Elasticsearch, Splunk, Load Balancing, Tls, Azure, Authentication, Python, AWS, Cribl

Python-DataProcessing, SQL-DataQuerying, Airflow-Orchestration, Snowflake-DataWarehousing, AWS-CloudETL, Git-VersionControl

Data Modelling, Scala, Apache Spark, Sql, Data Governance, Python, data pipelines, data lake ecosystems, data quality frameworks, lake house architectures, AI-powered solutions, dimensional modelling, data ingestion, observability tooling, analytics engineering practices, machine learning models

snowflake , Data Warehouse, ELT, Nosql, Terraform, Docker, Azure Data Lake, Python, AWS, Redshift, Sql, Git, Database Sql, Bitbucket, Powerbi, Spark, Data Lake, Kubernetes, Etl, Airflow, Google BigQuery, Sagemaker, Dask, Vector Data Stores, Superset, Glue

snowflake , S3, Hadoop, Prometheus, Emr, Grafana, Redshift, Sql, Lambda, MLops, Cloudwatch, Spark, Databricks, Python, AWS, Airflow, MLflow, SageMaker, Lake Formation, dbt, Vertex AI, Glue, Athena

teradata data warehouse , Rest Apis, Hive, Data Pipeline, Sqoop, Data Governance, Documentation, Design Specification, Hadoop Database, data administration, training manuals, HDFS, Delivery of Business Solutions, Technology Roadmap, Review of specifications