Syed Hussain Haider

About Syed Hussain Haider

I build data systems that run automatically, scale reliably, and directly move business metrics.I’m a Data Analyst & Data Engineer with 3+ years of enterprise experience, designing, automating, and owning 100+ production ETL pipelines—from initial development to long-term maintenance. My core focus is turning operational data into accurate, trusted insights through clean and scalable automation.At HCLTech, I lead end-to-end data workflows by extracting data from ServiceNow and Remedy APIs, transforming it using Python, and storing it in PostgreSQL and Oracle databases to support dashboards, alerts, and executive reporting. I design dashboards using Python (pandas, matplotlib) as well as Power BI and ServiceNow, based on business needs and audience.Key Contributions & Impact:Reduced ticket volumes by supporting autonomous automation teams through analysis of ticket and service request patterns, identifying candidates for full automation using tools like BigFix and OptiBot.Improved CSAT by 4% by designing an automated CSAT feedback mechanism triggered within 24 hours of ticket resolution and aligning resolution strategies with data-backed insights.Strengthened DSAT control by supporting Quality teams with root-cause analysis, KPI forecasting, and improvement planning shared with stakeholders.Built a centralized automation monitoring dashboard to track ETL pipeline health, performance, and adoption.Developed reusable Python-based ServiceNow integrations, enabling faster and standardized ETL development.Designed alerting and forecasting dashboards to track abnormal ticket growth, backlog, SLA, AHT, MTTR, and month-end closure trends.Core Skills & Tools:API Data Extraction (ServiceNow, Remedy)Python-based ETL, Data Cleaning & KPI ModelingPostgreSQL & Oracle Database AutomationDashboards & Reporting: Python, Power BI, ServiceNowForecasting & Statistical Analysis (SLA, CSAT, AHT, MTTR, Backlog)Automation: Python, SMTP, Task SchedulerAzure (Fundamental): log data ingestion and analysisI’m driven by solving operational and business problems with data systems that don’t just work today—but continue delivering value as teams scale and decisions grow more complex.

Experience

1. Data Analyst & Data Engineer

   HCLTech

   Dec 2022 — Present · Lucknow, IN

   I lead the end-to-end design of automated ETL pipelines, database architecture, and analytics systems supporting operational, governance, and MIS stakeholders.• Built and automated 100+ Python-based ETL pipelines integrating ServiceNow and Remedy REST APIs• Process records daily (~100K+ monthly data volume) and manage PostgreSQL & Oracle database architecture independently• Designed scalable RDBMS schemas, indexing strategies, and validation layers to ensure data quality• Reduced manual reporting effort by ~60% through automation using Python, HTML-formatted reports, and SMTP workflows• Developed Power BI dashboards tracking SLA, CSAT, MTTR, AHT, FCR & backlog aging• Improved automation-resolved ticket rate by ~15% through ticket trend analysis• Built KPI forecasting models (regression & time-series) for SLA & ticket volume prediction• Developed automation performance monitoring framework (ITBL%, success rate, cost impact)• Performed log-level data analysis using Azure APIs• Exposure to PySpark for distributed data processing and transformation tasksTech Stack:Python, SQL, PostgreSQL, Oracle, Power BI, REST APIs, PySpark, Azure APIs, Matplotlib, HTML/CSS, SMTP Automation, Windows Task Scheduler, ETL Development

Education

• St Josephs ser sec scohol

  10th Grade, Mathas

  2016

• Babu Banarasi Das (BBD) University

  BCA, Computer Science

  2018 — 2021

• Resonance International School

  12th Grade

  2018