data warehouses , solution architecture, Data Architecture, Microservices, Microsoft Azure, AWS, Application Architecture, Google Cloud, Devops, MLops, Cloud Architecture, Containers, agentic AI, orchestration patterns, data pipelines, vector databases, lakehouses, CI CD, application modernization, data lakes, GenAI architecture, large language models, enterprise technology transformation, AI APIs, integration architectures, semantic search, AI ML platforms, analytics platforms, data platforms, retrieval-augmented generation, AI architecture, AI security governance

Java, RESTful API development, Php, Ruby, Python, Agile Methodology, Full-stack Web Technologies, Software Engineering Processes, Code Reviews

Kubernetes (SKE/AKS), MinIO - S3, Apache Airflow, Devops, Linux, Shell Scripting, Python, Spark, Sql, Java, Core Big Data Platform

.NET Framework, Java, Web Services, Mssql, Sql Scripting, MySQL, Rhel, Oracle, Ms Clustering, OpenJava, API integrations, Windows Server 2019

snowflake , Machine Learning, Predictive Analytics, Sql, Azure ML, MLops, Statistical Modelling, Databricks, Clustering, Python, Generative AI, model deployment, event-triggered workflows, recommendation engines, CI CD, conversational AI solutions, LLM applications, Segmentation, AI agents, Microsoft Fabric, real-time scoring, RAG architectures, model monitoring

Terraform, automation, Helm, Kubernetes, Python, AWS, observability

communication planning , Product management, Integrated marketing campaigns, Customer insights, Brand marketing, Competitive Intelligence, Product Marketing, Go-to-market strategies, Product positioning

Power Bi, PowerShell, Pyspark, SQL Server, Kafka, Azure Data Factory, Spark, Advanced Sql, Dax, Python, Parquet, Data Lake Gen2, AWS Data Stack, API-led connectivity, CDC Change Data Capture, Synapse Analytics, Event Hubs, Delta Lake, GCP BigQuery, Microsoft Fabric