Software Development Life Cycle, Agile Methodologies, Spark, Bigdata, Sql, AWS, Application Resiliency, Data engineering best practices, AI-assisted software development tools, CI/CD, Security

Neo4j, Databricks, Python, MCP integration, pgvector, MCP prompt eval tooling, LLM cost governance, LLM orchestration, vector databases, RAG pipelines, graph stores

MLops, Pyspark, Spark, Databricks, Delta Lake, cloud-native architectures

data engineering , snowflake , Java, Distributed Systems, Apache Spark, Spring Boot, Kafka, Microservices, Docker, Databricks, Kubernetes, Generative AI, Infrastructure as Code, Flink, Multi-Agent Orchestration, CI CD, Iceberg, Vector Databases, Event-Driven Architectures, Agentic AI, Delta Lake, Prompt Engineering, RAG Architectures

S3, Github, Servicenow, Windows Server, PostgreSQL, Vpc, Grafana, Datadog, Ec2, Confluence, Terraform, MySQL, Route 53, AWS CodePipeline, Python, AWS, RDS, Dynamodb, Bash, Jira, Ubuntu, Kms, Cloudwatch, Linux, Iam, Rhel, PagerDuty, Aurora, EBS, CloudTrail, Systems Manager SSM

amazon emr , Java, S3, RDS, Apache Flink, Scala, Amazon Kinesis, PostgreSQL, Apache Spark, Spring Boot, Spring, Apache Airflow, Cloudwatch, Apache Cassandra, Sqs, Iam, AWS data services, Glue

data engineering , BigQuery, Analytics Delivery, Jira, Sql, ML AI, Cloud Data Warehousing, Agile Delivery

Power Bi, Sql, ELT, Apache Airflow, Python, Etl, Airbyte, Google BigQuery, Looker, DataOps, dbt, LookML

snowflake , Machine Learning, Sql, Tensorflow, MLops, Pytorch, Netsuite, Spark, Databricks, Python, Salesforce, AI tools, scikit-learn, dbt, Fivetran