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shekhar_tyagi1

Shekhar Tyagi

@shekhar_tyagi1

Web Scraping and Data Engineer, Python, Selenium, AWS, ETL

Indien
Englisch, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Python Web Scraping & Data Engineer with 10 years of experience and 350+ websites scraped. I build reliable scrapers and crawlers for e-commerce, product listings, jobs and lead data, handling dynamic JavaScript pages, logins, sessions and pagination. Data is delivered clean as CSV, Excel, JSON or loaded directly into MySQL/SQL databases. I also build scheduled ETL pipelines on AWS with Docker and Airflow, plus n8n and AI/LLM-based data extraction workflows. Clear communication and on-time delivery.... Mehr lesen

Kompetenzen

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shekhar_tyagi1
Shekhar Tyagi
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Daten-Scraping
I will do python web scraping, data extraction and web crawler

Arbeitserfahrung

Apexon

Senior Engineer, Web Scraping & Data Automation

Apexon • Vollzeit

Oct 2025 - Present • 1 yr 1 mo

Client: Dell. Build and maintain Python + Selenium scrapers that collect product data unattended, with handling for dynamic DOM changes, authentication and session management. Containerized runs with Docker/Podman inside a restricted corporate network. Validate scraped data with complex SQL queries on MySQL for accuracy and completeness, and built a Flask reporting dashboard over 450K+ rows of scraped data.

Fractal_Analytics

Data Engineer

Fractal Analytics • Vollzeit

Sep 2024 - Dec 2024 • 3 mos

Built and tested Python data pipelines for data engineering projects, covering data extraction, transformation and validation. Wrote Python + Selenium scripts for automated web data collection and checks, and embedded runs into CI/CD pipelines for continuous, scheduled execution. Defined and tracked data quality KPIs to improve accuracy of delivered datasets.

Hypersonix_Inc

Senior Data Analyst

Hypersonix Inc • Vollzeit

Dec 2022 - Sep 2024 • 1 yr 9 mos

Worked on Profit GPT, an AI product that analyses customer sales and inventory data to forecast profitability. Validated data pipelines and extracted data from backend APIs to ensure accuracy, completeness and reliability of large datasets. Owned the data quality lifecycle from planning to reporting and mentored team members on Python automation practices.