Harisankar.

A data-driven platform to analyse product assortment strategy using scraped data from a range of e-commerce platforms — structured for long-term flexibility and analytical scale.

• Data modelling with the Data Vault methodology for long-term scalability.
• Quarterly web-scraping pipelines feeding structured insights into BigQuery.
• Built an end-to-end framework to transfer data from BigQuery into Snowflake.
• Enabling data-driven assortment decisions through category gap analysis and white-space detection.
• Leveraged Snowflake Cortex AI to develop Agentic AI solution on top of the assortment data.

End-to-end implementation of an enterprise data platform — rebuilding pipeline reliability, data quality controls, and large-scale transformation workloads across Spark, Kafka, and Oracle.

• Data quality framework using Great Expectations integrated with DataHub.
• Developed ingestion frameworks for API, streaming and RDBMS.
• Distributed Apache Spark jobs on AWS EMR; Kafka-based ingestion.

Transformed a national telecom operator's customer experience by migrating notifications from internal systems onto our platform — letting customers set custom notification preferences via the Mobile App, CSRs and call centres. Owned requirement analysis, design, end-to-end deployment, testing and delivery.

• Partnered with demand analysts, business development managers and solution architects to design, analyse and implement customer requirements.
• Built a Pub-Sub model and data pipeline collecting structured and unstructured data from disparate systems into a Data lake using Kafka streams.
• Collected notification trends and customer information into a DWH and analysed it to surface insights that improved business and customer experience.
• Supported an 18-node Cloudera cluster — NiFi & StreamSets for ingestion, Spark for transformation, Kafka for real-time streaming.
• Went onsite and ran 5+ levels of testing — functional, regression, UAT, integration and performance.
• Designed a data model to manage user preferences; used MySQL, Oracle, BigQuery, Tableau, Power BI and Excel for data intelligence.

A comprehensive messaging-service platform that integrates multiple SMS operators. Owned the design and end-to-end deployment, helping onboard 1500+ B2B/B2C customers and scale the business rapidly.

• Designed and deployed the platform end to end — integrating multiple SMS operators into a single solution.
• Helped integrate 1500+ B2B/B2C customers and expand the business rapidly.
• Developed Python / shell scripts and SQL stored procedures for project use cases.
• Set up non-functional requirements — hardware support, load balancing and redundancy management.
• Deployed campaign management solutions onsite for leading stock-exchange and banking clients.

A messaging solution offering both prepaid and postpaid credit to B2B customers for sending SMS/USSD notifications. Responsible for testing, report design and onsite delivery.

• Delivered prepaid and postpaid credit messaging for B2B customers (SMS / USSD notifications).
• Designed reporting and dashboards using Pentaho and Highcharts.
• Developed SQL procedures for processing; followed a CI/CD pipeline for deployment.
• Went onsite for deployment and completed UAT successfully.