Mohammad Awez Ansari
Escalation Management Specialist @Public Partnerships | PPL
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WORK HISTORY
Escalation Management Specialist @Public Partnerships | PPL
Dedicated and solutions-oriented Escalation Specialist with a strong track record of managing high-impact customer issues and driving resolution strategies in fast-paced, service-focused environments. I specialize in resolving complex escalations by coordinating with cross-functional teams, analyzing root causes, and ensuring alignment with both customer expectations and organizational objectives.With a background in customer success, operations, and technical support, I bring a structured approach to problem-solving, consistently turning critical situations into opportunities to reinforce customer trust and enhance service delivery. I am adept at de-escalating challenging scenarios, identifying systemic issues, and implementing long-term process improvements to reduce recurrence.
EDUCATION
Western Governors University
Bachelor's degree, Computer/Information Technology Administration and Management
Western Governors University
Master of Science - MS, Data Analytics and Engineering
ABOUT MOHAMMAD AWEZ ANSARI
Data Engineer specializing in building scalable, reliable, and cloud-based data pipelines to support analytics, reporting, and data-driven decision-making. Experienced in designing end-to-end ETL/ELT workflows, transforming raw data into structured, analytics-ready datasets.Strong hands-on experience with Python and SQL for data processing, automation, and performance optimization. Proven ability to work with cloud data platforms (AWS) and modern data engineering tools to ingest, transform, and store large-scale datasets efficiently.Actively focused on building production-ready data systems, improving pipeline performance, and adopting best practices in cloud data engineering, automation, and scalable architectures.Core strengths include: • Data Engineering & Data Pipelines • ETL / ELT Development • Python, SQL • Apache Spark (batch processing) • Kafka (streaming fundamentals) • Airflow (workflow orchestration) • dbt (analytics engineering concepts) • AWS (S3, Redshift, Glue) • Data Warehousing & Data Modeling • Data Quality, Validation & Monitoring • CI/CD & Version Control (Git) • Distributed Systems & Cloud Computing
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