snowflake , Github, BigQuery, Kafka, Node.JS, Kotlin, JIRA, Microservices, Git, Typescript, Confluence, Presto, MySQL, Functional Testing, Debugging, Postgres, Spark, Python, Etl, Druid, service-oriented architectures, RESTful API design, SQL databases

BigQuery, Hadoop Ecosystem, Scala, Apache Spark, Kafka, Data Modeling, Dataproc, Big Data Technologies, Cloud Storage, DataFlow, Airflow, pipeline orchestration

Requirements Analysis, Business stakeholder management, SAS-to-SQL Dataform conversion, Advanced SQL and query optimization, SAS program analysis and workflow understanding, Google Dataform development, Reporting migration and legacy BI modernization, GCP BigQuery experience, UAT coordination and business validation, Data transformation and pipeline development, Report inventory and migration assessment, Data quality validation and reconciliation

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

containerization , Storm, Orchestration, Cassandra, Kafka, Informatica, Spark Core, Azure Cloud, Sqoop, Talend, Python, Java, Flume, Scala, Dynamodb, HBase, Kubernetes, Big Data Architecture Patterns, Flink, Pub Sub, Big Table, CI CD pipelines, Pulsar, NiFI

Glue), Informatica Intelligent Cloud Services (IICS), AWS Services (S3, Github, Sql, Data Quality, Git, Data Warehousing, Informatica Powercenter, Redshift, ETL Data Integration, CI/CD Basics, Relational Databases, Unix/Linux Shell Scripting, Tableau or other BI Reporting Tools, Data Validation

Java, S3, Hadoop, Scala, Nodejs, Data Modeling, Emr, Data Governance, Redshift, Sql, Hive, Ec2, Spark, Python, Semantic layers, GenAI solutions, Dashboard data models, Big data pipelines, AWS Tools and Technologies, ETL pipelines

data engineering , Gcp, MLops, Python, Sql, Distributed Computing, Orchestration, Data Governance, Data Lineage, Performance Monitoring, Lakehouse architectures, Automated alerting, MLOps platforms, Observability frameworks, Data quality metrics, Machine learning lifecycle, Data pipelines, CI/CD for machine learning systems

Apis, Microservices, Enterprise Integration, Distributed Systems, Containers, Python, Kubernetes, GenAI, cloud-native architecture, infrastructure automation, secure development, modern data platforms, observability, vector search, agentic workflows, model evaluation, RAG, Production Monitoring, CI/CD, safety controls, major cloud platform