Telecommunications · 2025 – Present
Customer Sentiment Analysis Platform
Unified customer sentiment by combining social listening (Sprinklr, LinkedIn), CRM interactions, and network performance signals into a single lakehouse platform.
Role
Senior Data Engineer / Data Architect
Challenge
High-volume, heterogeneous sources with no common model; slow Spark jobs and excessive data movement; no validation layer for executive dashboards.
Solution
Built scalable Databricks/PySpark ETL pipelines integrating Sprinklr, LinkedIn, CRM, network data and external APIs into a centralized lakehouse with curated models, semantic layer, Power BI dashboards, and pipeline monitoring.
Technologies
Optimized
Spark pipeline runtime
Single
Trusted sentiment KPI source
