Java, Performance Tuning, Pyspark, Sql, ELT, Spark, Databricks, Python, Etl, AWS Cloud Services, Data integration strategies, Data warehousing principles, Data quality checks, Real-time data ingestion

Service Cloud, Sales Cloud, Salesforce, Data AI, Salesforce project implementation, enterprise sales cycles, Industry Clouds, pre-sales management, integration frameworks, Agentic Tech Stacks

Java, Oracle Sql Server, Amazon Web Services, Kafka, Spring Boot, Google Cloud, Microservices, Angular, Spring, React, Vue.JS, JUnit, MySQL, Postgres, Serverless Computing, React Native, MongoDB, Rest Apis, Azure, Kubernetes, Data Pipelines

data engineering , Agile Methodologies, Data Structures, Algorithms, Software Engineering, Scalable System Design, Applied ML in Healthcare, B2B Enterprise SaaS, PHI Data Access Controls, Core Platform Engineering, DevOps and SRE Practices, Security by Design, Multi-tenant Microservices Architecture

data wrangling , BigQuery, Google Cloud Platform, Python, Sql, R, ETL tools and techniques

data engineering , Data Science, Automation Tools, Compliance, Cloud platforms, Ai, Program management, Risk management, Delivery management

SQL Server, Angular, Deep Learning, Flask, FastAPI, Python, LangChain, RAG systems, LLMs, ML algorithms, Pinecone, OpenSearch, Microservice architectures, Llama Index, FAISS, SaaS application development, NLP techniques

Power Bi, Salesforce Crm, Microsoft Excel, AI platforms, Six Sigma methodologies

containerization , Autoscaling, AI tool adoption, elastic compute architectures, workload scheduling, AI-powered productivity initiatives, multi-cloud resource management

Apache Airflow, Apache Spark, Cloud Devops, Sql, Aws