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Skills

  • Python
  • SQL
  • API
  • Azure
  • Cloud Computing
  • Data Analysis
  • Data Extraction
  • Data Science
  • General / Other Programming & Software
  • Programming
  • Script and Screenplay Editing
  • Spark

Services

  • Azure Data Engineer

    $10/hr Starting at $50 Ongoing

    Dedicated Resource

    Data extraction from a variety of sources, including CSV files, JSON files, and databases. Data cleaning and transformation. Data loading into a variety of destinations, including data warehouses, data...

    AzureData AnalysisData SciencePythonSpark
  • Python Scripting / Automation

    $10/hr Starting at $30 Ongoing

    Dedicated Resource

    Web scraping: Web scraping using Python libraries such as Beautiful Soup or Scrapy. Web scraping can be used for a variety of purposes, such as collecting product prices, gathering market research data,...

    APICloud ComputingData ExtractionGeneral / Other Programming & SoftwareProgramming

About

Data engineering with Python: Automating the boring stuff.

I am a highly skilled and experienced Azure Data Engineer with 3 years of experience in Databricks, Datafactory, Python, Spark, and SQL. I also have basic knowledge of Power BI and Snowflake.

I am proficient in a variety of Azure Data Engineering tools and technologies, including:

Databricks
Data Factory
Python
Spark
SQL
Power BI
Snowflake
I have a proven track record of building scalable and reliable data pipelines, automating the boring stuff, and unlocking the potential of data. I am also an excellent communicator and I am able to work independently and as part of a team.

I am passionate about data engineering and I am always looking for new ways to use Azure Data Engineering tools and technologies to solve data challenges.

I am also a highly motivated and results-oriented individual with a strong work ethic. I am also a team player and I am able to work independently and as part of a team.

I am looking for a challenging and rewarding opportunity to use my skills and experience to help businesses make better decisions with data.

Work Terms

I prefer to work freelancing early morning or on Weekends and during IST timings. But the work can be flexible.