Pooja Singh

Data Engineer

Delhi, India5 yrs 3 mos experience

Key Highlights

  • Expert in designing robust data pipelines.
  • Proven track record in data-driven decision making.
  • Strong background in both data engineering and software development.
Stackforce AI infers this person is a Data Engineer specializing in SaaS and Fintech industries.

Contact

Skills

Core Skills

Data EngineeringData Pipeline DevelopmentFrontend DevelopmentData VisualizationBackend DevelopmentApi Integration

Other Skills

Python (Programming Language)MySQLMongoDBApache AirflowMetabaseReact.jsEchartNode.jsPHPThinking like Data EngineerData Engineer LifecycleRequirements GatheringData ArchitectureDataOpsData Quality

About

Passionate Data Engineer with experience of leveraging diverse set of technologies and drive impactful business decisions. Designed and implemented robust data pipelines using cutting edge technologies like Python, SQL, NoSQL, AWS Cloud, Airflow, Kafka and Spark. In addition to my Data Engineering expertise, I have a background as a Software Developer. This diverse background has enriched my problem-solving abilities and provided me with a holistic perspective on technology stacks. I am an enthusiastic programmer with good interpersonal and analytical skills willing to contribute to the organisation’s' vision and goals.

Experience

Nielsen

Data Engineer II

Feb 2025Present · 1 yr 1 mo · Gurugram, Haryana, India · Hybrid

Mygate

Data Engineer

Mar 2022Jan 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

  • Developed and automated a user segmentation pipeline for 7.2M flats, identifying 1.5M single-user registrations and categorizing users into ’new’ and ’existing’ groups. Enabled targeted campaigns that increased family member additions by 25%, leveraging MySQL, MongoDB, APIs, and Apache Airflow.
  • Automated daily financial report uploads to Kosh’s S3 bucket using Airflow, eliminating manual effort for the Finance team, saving 10 hours/week, and improving data reconciliation efficiency by 20%.
  • Designed and optimized an executive dashboard, reducing query scan size from 500 GB to a few KBs and execution time by 90%, saving 30 hours/month and cutting data processing costs by 50%. Replaced Metabase with a custom Appsmith dashboard for better stakeholder reporting.
Python (Programming Language)MySQLMongoDBApache AirflowData EngineeringData Pipeline Development

Alphaa ai

Software Developer

Oct 2021Feb 2022 · 4 mos · Noida, Uttar Pradesh, India · On-site

  • Implemented 10+ interactive chart types in React using E-Chart libraries (e.g., bar, funnel, scatter, pie, heatmap, treemap, and radar), enhancing the in-house data visualization app with diverse options for representing complex datasets.
  • Developed new features for the dashboard, including the ability to create, pin/unpin, and resize charts, and customize properties such as color themes and labels, improving usability and personalization for end users.
  • Collaborated on the frontend development of an in-house data visualization product, enabling clients to create charts dynamically by integrating a natural language processing backend to convert text queries (e.g., ”Top 5 product sales by country”) into visual insights.
React.jsEchartFrontend DevelopmentData Visualization

Mylo

Back End Developer

Oct 2020Sep 2021 · 11 mos · Gurugram, Haryana, India · Remote

  • Integrated Paytm wallets to automate the refund process, eliminating manual collection of customer bank details and accelerating refund timelines from 3–4 business days to a few minutes; enhanced customer satisfaction and operational efficiency by leveraging Paytm APIs and PHP.
  • Developed an intelligent product tagging system using MySQL, analyzing performance metrics (e.g., most bought, most preferred, highest rated products) on a 7-day and 30-day cycle; resulted in a 40% increase in user engagement and conversion rates.
Node.jsMySQLPHPBackend DevelopmentAPI Integration

Education

Netaji Subhas Institute of Technology

Bachelor of Engineering - BE — Computer Engineering

Jan 2016Jan 2020

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