About me

I'm a backend developer focused on building data-driven systems that extract, transform, and optimize information flow. My work spans parsing complex PDF documents using Python, automating data pipelines with Apache NiFi, and scraping structured content from the web.

I’m passionate about performance — especially when it comes to optimizing SQL queries, streamlining backend logic, and ensuring that systems scale reliably under real-world conditions. I’ve also built Grafana dashboards tailored for customer support teams, helping them track operational metrics and respond to issues faster through clear, actionable reporting. While most of my work centers around Python, SQL, and ETL tools, I occasionally dive into C# and PHP to support legacy systems and integrate cross-stack features. I enjoy turning messy, unstructured data into clean, usable pipelines that solve real business problems.

What i'm doing

  • sql icon

    SQL Optimization

    Tuning queries and improving database performance.

  • etl icon

    Apache NiFi ETL

    Building and managing automated data pipelines.

  • grafana icon

    Grafana Dashboards

    Creating real-time dashboards for customer support insights.

  • pdf icon

    PDF Data Extraction

    Writing Python scripts to extract structured data from complex PDFs.

  • web scraping icon

    Web Scraping

    Extracting structured data from websites using Python tools.

  • backend scripting icon

    Backend Scripting

    Supporting workflows with Python, C#, and PHP scripts.

Resume

Experience

  1. Software Developer at Value Research

    May 2023 — Present

    Automated the extraction of mutual fund data from AMC websites using Apache NiFi, integrating Python with BeautifulSoup and Selenium in cases where APIs were unavailable.


    Designed and implemented a Grafana dashboard for the customer support team to proactively identify users with payment issues and monitor real-time customer engagement metrics.


    Enhanced the performance of mutual fund XIRR calculations in PostgreSQL by developing a custom aggregate function in C.


    Built robust scripts for extracting and parsing relevant data from PDF documents, improving data processing efficiency.

  2. Software Developer - Intern at Codequotient

    December 2022 — April 2023

    Collaborated with senior developers and received mentorship on industry-grade code practices and deployment strategies.


    Developed two end-to-end projects during the internship — a real-time chat application and a URL shortener.


    Gained hands-on experience with tools and frameworks such as Node.js, React, HTML, CSS, MySQL, and C#.

Education

  1. M.Sc. in Data Science and Artificial Intelligence

    2021 — 2023

    Himachal Pradesh University

  2. B.Sc. (Hons) in Electronic Science

    2018 — 2021

    Delhi University

My skills

  • PL/SQL & Database Development
    90%
  • Data Extraction & Web Scraping
    75%
  • Data Pipeline Development with Apache NiFi
    85%

Contact

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