enterprise it infrastructure , Data Pipeline, Batch Management, Databricks, Computer Engineering, AWS, Root Cause Analysis, Certifications, Computer Science, Deployment, Snow Software, Azure Data Explorer, image analysis, Data Contracts, Education, Open Table

Pyspark, AWS, Python

BigQuery, Power Bi, AWS Glue, Kafka, Tableau, Sql, ELT, Git, Gcp, MLops, Python, AWS, Etl, Azure Purview, Looker, Google Cloud Data Catalog, DataOps

Terraform, Cloudformation, Apache Iceberg

Kafka, Data Warehouse, Docker, Terraform, Python, AWS, Spark SQL, Apis, Redis, Gcp, Kubernetes, Etl, Airflow, Debezium, Flink, CI CD, Confluent, Pub Sub, Cloud Run, Python Flask, GA4, Fivetran, Batch Processing, Lakehouse

snowflake , Github, S3, Pyspark, Kafka, Emr, Redshift, Sql, ELT, Lambda, Kinesis, Gitlab, Databricks, Python, AWS, Etl, Glue

Pyspark, Ibm Datastage, Apache Spark, Redshift, Sql, ELT, Tws, Jenkins, Lambda, Git, Cloudwatch, Ec2, Iam, Databricks, Ibm Db2, Informatica Powercenter, Oracle, Python, AWS, Etl, Delta Live Tables, Glue, Delta Lake

Cloud networking, Apache Spark, Sql, Apache Airflow, MLops, Terraform, Apache Kafka, Distributed Systems, Python, LLMOps, Microservices architecture, Containerisation, Cloud security best practices, Data Lakehouse, DataOps, Cloud computing principles

Performance Tuning, Pyspark, Etl Development, Python, Pipeline automation, Databricks on AWS, Data ingestion, Informatica DEI, Data transformations, Data quality frameworks