Results-driven IT professional with over 5 years of experience in data integration and middleware solutions, specializing in Enterprise Service Bus (ESB) tools such as IBM Integration Bus (IIB) and IBM App Connect Enterp…
Results-driven IT professional with over 5 years of experience in data integration and middleware solutions, specializing in Enterprise Service Bus (ESB) tools such as IBM Integration Bus (IIB) and IBM App Connect Enterprise (ACE). Skilled in ETL processes, data virtualization, and API-driven integrations to enable seamless data flow across heterogeneous systems. Adept at designing, developing, and deploying integration solutions that ensure data consistency, scalability, and security. Experienced in working with Denodo for data virtualization, delivering unified data views to support analytics and business intelligence. Recently expanded expertise in Machine Learning, NLP, and Cloud to bridge the gap between data engineering and AI-driven insights, making integration solutions more intelligent and adaptive.
Designed and optimized large-scale ETL pipelines in PySpark and Databricks to prepare datasets for predictive ML models., Implemented PnL computation workflows and schema-level transformations to enable accurate financial forecasting., Built monitoring frameworks in Databricks to track data volumes and maintain pipeline data integrity.
Designed and implemented Python scripts to automate PII redaction in unstructured documents, leveraging spaCy for entity recognition and applying color-coding to classify different types of sensitive information (e.g., names, organizations, locations), ensuring compliance and data privacy., Developed a Retrieval-Augmented Generation (RAG) chatbot where user inputs in natural language were dynamically converted into SQL queries, enabling real-time data retrieval from PostgreSQL databases and delivering accurate, context-aware responses., Gained hands-on experience in Power BI by learning, designing, and publishing interactive dashboards connected to SQL data sources, enhancing data visualization and reporting capabilities.
Delivered enterprise-scale data integration solutions by designing and deploying message flows in IBM IIB and IBM ACE, enabling secure and reliable transfer of data between heterogeneous applications across the enterprise., Implemented ServiceNow integrations with backend systems through ESB and REST APIs, streamlining incident, request, and change management workflows by ensuring seamless data exchange., Engineered Denodo-based data virtualization layers to unify disparate data sources, optimizing query performance and providing a single, consistent view of enterprise data for analytics and reporting., Designed and maintained real-time API-based data flows and pub/sub messaging patterns using IBM ACE and Apache Kafka, ensuring low-latency, event-driven communication across business-critical applications in life sciences systems.
Designed and implemented Python scripts to automate PII redaction in unstructured documents, leveraging spaCy for entity recognition and applying color-coding to classify different types of sensitive information (e.g., names, organizations, locations), ensuring compliance and data privacy.
Developed a Retrieval-Augmented Generation (RAG) chatbot where user inputs in natural language were dynamically converted into SQL queries, enabling real-time data retrieval from PostgreSQL databases and delivering accurate, context-aware responses.
Gained hands-on experience in Power BI by learning, designing, and publishing interactive dashboards connected to SQL data sources, enhancing data visualization and reporting capabilities.
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