Sai Kiran
Data Engineer Python, SQL, Azure ETL Pipelines, Data Automation & Analytics Excel & Pandas Expert
- Role
- Data Engineer at Verizon
- Location
- Columbus, OH, US
- LinkedIn followers
- 500 followers
About Sai Kiran
I am a Data Analyst with 4+ years of experience using Excel, Python (Pandas), and SQL to transform raw data into meaningful insights that support business decision‑making. My strengths include data cleaning, automation, reporting, and building scalable analytical workflows that improve efficiency and accuracy across teams. I specialize in: Advanced Excel (Power Query, Pivot Tables, dashboards, automation)Python for data wrangling, analysis, and process automation (Pandas, NumPy, Matplotlib)SQL for querying, joins, aggregations, and performance optimizationDesigning ETL workflows and integrating data from multiple sourcesCreating clear visualizations and KPI‑driven reports for stakeholdersI enjoy solving complex data problems, optimizing processes, and collaborating with cross‑functional teams to deliver measurable business value. I’m continuously learning and expanding my expertise in analytics, automation, and modern data tools to stay ahead in a fast‑evolving data landscape.
Experience
Data Engineer
Aug 2023 — Present · Dallas, TX, US
Network Data Pipeline Modernization – VerizonDesigned and built scalable data pipelines to process high‑volume network performance data (tower metrics, call logs, device usage) and deliver analytics‑ready datasets for engineering and business teams.Key Highlights- Built end‑to‑end ETL pipelines using Python, SQL, Azure Data Factory, and Databricks to process 50M+ daily network events- Developed PySpark transformations to clean, aggregate, and optimize large datasets, improving processing speed by 40%- Implemented Airflow DAGs for automated scheduling, monitoring, and error handling across daily/hourly workflows- Migrated on‑prem data sources to Azure Data Lake, enabling centralized storage and faster analytics- Applied data quality checks (schema validation, anomaly detection, null handling) to ensure reliable downstream reporting- Partnered with network engineering teams to deliver curated datasets for dashboards and predictive analytics.Impact:Improved data freshness from 24 hours to near real‑time, strengthened pipeline reliability, and enabled faster decision‑making for network optimization and customer experience.
Education
JNTUH College of Engineering Hyderabad
Bachelor's degree, Computer Science
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