Aws Redshift, Data Lake, Data Architecture, Python, Data ingestion, AWS cloud technologies

Data Privacy, Azure, Python, data lake architectures, inference systems, cloud platforms, anonymization, MLOps practices, data governance tools, ETL ELT pipelines, distributed data pipelines, compliance frameworks, data processing systems, ML model deployment

ELT, Gcp, Scalability, Azure, AWS, Data lakes, Cloud platforms, Cost Optimization, Stakeholder Communication, Architecture patterns, Security, Strategic Thinking, Platform Efficiency, Streaming ETL, Data platforms, Platform Onboarding Integration, AI ML platforms, MLOps concepts, Platform Architecture Strategy

Kafka, Linux Os, Docker, Terraform, Shell scripting, Gitlab, Python, Hadoop, Scala, Dynamodb, Bitbucket, Pig, Hive, Cloudformation, Ansible, Spark, Data Visualization, User Interface Design, Kubernetes, DocumentDB, AWS Cloud Servers, Data ETL, NoSQL MongoDB, RDBMS MySQL, Gitflow

Java, Scala, Kafka, Data Modeling, Big Data Technologies, Sql, Hive, Spark, Python, NoSQL databases, Flink, query optimizations

snowflake , Sql, S3, Splunk, Pl Sql, Emr, Teamcity, Data Warehousing, Hadoop, Appdynamics, Etl, AWS, Ec2, Jenkins, Git, Observe, Obstack, Auto-scaling, dbt, Cloud Data Platform, Github Actions, Octopus Deploy

data engineering , snowflake , Data Modelling, Agile Methodology, Cloud Architecture, Pyspark, Redshift, Sql, ELT, Gcp, Databricks, Scrum, Azure, Python, Etl, AWS, Data Warehouse Development, Data Pipelines, Synapse, dbt, Data Analysis, Kanban

Power Automate, Sql, Power Bi, Data Modeling, Dax, Python, RAG concepts, ML frameworks, Microsoft Fabric, Dataverse, GCP BigQuery, Power Apps

Distributed Systems, Ml, System Design, LLMs, Operational Excellence, architecture, data technologies, full-stack systems