e
engg_sol

Nisar A

@engg_sol
4.8(2)

Senior Data Engineer ETL:ELT, AWS:Azure:GCP, Web Scraping, APIs

Pakistan
English
About me
I help companies automate data workflows, build scalable ETL/ELT pipelines, and turn raw data into analytics-ready systems. I specialize in cloud data warehouses (AWS, GCP, Azure, Snowflake, BigQuery), API integrations, advanced web scraping, and marketing analytics (Google Ads, Meta, CRM, eCommerce). I deliver end-to-end, production-grade solutions—from ingestion to dashboards—using Python, SQL, Airflow, DBT, Glue, ADF, Docker, and BI tools like Tableau, Looker, and Power BI. Reliable delivery, clean code, and clear documentation guaranteed.... Read more

Skills

e
engg_sol
Nisar A
Offline • 

See my services

Data Engineering
I will setup and develop efficient dbt for your business
4.8(2)
Project Management Software
I will automate your marketing strategies

Portfolio

Work experience

Ylopo

Data Engineer

Ylopo • Full-time

Sep 2019 - Present6 yrs 8 mos

Leading multiple projects in parallel. Developed a data-driven process for generating assets in the database, followed by uploading these assets to Google Ads. Additionally, crafting an automated mechanism for syncing data from Google Ads to the database and retrieving performance statistics for entities that excel on Google Ads.  Awarded with Stand-out Performer award

2 Reviews
4.8

(2)
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Rating Breakdown
  • Seller communication level
    5
  • Recommend to a friend
    5
  • Service as described
    4.5
1-2 out of 2 Reviews
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Most relevant
    D

    dxxrre

    Repeat Client

    US

    United States

    5

    excellent job

    Helpful?
    Yes
    No
    C

    chriysahidjo

    Repeat Client

    CA

    Canada

    4.7

    engg_sol is extremely professional and fast. I definitely recommend working with him. He delivered on time and understood the task description. Plus, he was able to follow the existing code structure. His work shows that he has good understanding of data engineering principles.

    Helpful?
    Yes
    No