Senior leader driving real-time, ML/AI-powered customer engagement and analytics at enterprise SaaS scale. Delivered production ML models and patent-generating use cases; modernized model serving, data quality, and optimized analytics execution. Led cross-functional teams to align product roadmap and revenue, managed integrations with CRMs, and established delivery metrics and vendor certifications.
Deep hands-on stack: Python, SQL, PySpark, dbt, AWS (Athena, Glue, SageMaker), GCP (BigQuery, Looker), data orchestration, and real-time data workflows.
Data Engineering, ML Model Training, SageMaker Serverless, PySpark Clickstream Pipelines, Data Quality (TFDV), Analytics Acceleration, Feature Engineering
CRM Integrations, Vendor API Certification, Enterprise Analytics, Delivery Metrics, Data Governance, ETL/ELT Patterns, A/B, MVT & UAT
Marketing Data Pipelines, Customer Segmentation & Clustering, Data Ingestion, ROI, KPIs, Automation (Email/SMS)
Software Engineering and Technical Program Managemenet (Consulting) roles delivering custom web solutions, APIs, CMS/e-commerce platforms, and embedded/network software. Led requirements, architecture, and execution for client projects; launched portals with third‑party API integrations; and optimized large-scale NMS/EMS systems. Optimized application performance, built SNMP MIBs/agents and FCAPS UI modules in C/C++ and Java.
Data-Driven Product Delivery, CMS Platforms, API-first E-commerce Integrations, Client Discovery to UAT, Agile Execution
Performance Engineering, Scalable NMS/EMS Data Systems, Reliability/SLA-focused Engineering, Profiling/Optimization
Network Telemetry & FCAPS, SNMP MIBs/Agents, Data Modeling for EMS/GUI, Fault/Alarm Pipeline Design
Agile Project Management: Scrum, Kanban, OKRs, JIRA, Confluence; Web APIs: REST, JSON, SOAP, WSDL, XML; Databases: Hive, MongoDB, DuckDB, MySQL, MS SQL Server; Programming: Python, Java, C++, PHP, HTML, Javascript; Data/ML Engineering: AWS (Glue, Athena, Lambda, Sagemaker), S3 Data Lake, SQL, Parquet, Pandas, Plotly, PySpark, TensorFlow Data Validation (TFDV), Scikit-learn, LightGBM, MLflow, Airflow; Lakehouse/Analytics/BI: GCP BigQuery, Snowflake, AWS Redshift, dbt, Looker, Power BI, Tableau; AI Tools & Workflows: GitHub Copilot, Prompt Engineering, Agent Orchestration (LLMs, LangChain, MCP); CI/CD: GitHub, BitBucket, Jenkins; Containerization: Docker; Observability: ELK Stack, Grafana; OS: Linux, Unix, OS X, Windows
Cloud Computing, Amazon, Web Services (AWS), Google Cloud Platform (GCP), Artificial Intelligence (AI), Machine Learning (ML), Data Engineering, Data Modeling, Data Pipelines, Data Warehousing, Data Lakes, Lakehouse, Data Governance, Databases, ETL, dbt, Apache Airflow, DAGs, Data Orchestration, Python, SQL, Gen AI, AI Agents, MCP, LangChain, Apache Iceberg, Agile OKRs, Digital Transformation, Data Analysis, Customer Insights, Technology Integration