Lyftrondata
M Nouman has a diverse work experience in the IT field. M started their career as a Software Developer at Freelancing IT in April 2018. In this role, they gained valuable experience in software development.
In 2019, they joined Bwlogics as a Frontend Developer. M worked in this position for a year, until October 2020. During their time at Bwlogics, they focused on frontend development tasks and honed their skills in this area.
In November 2020, they joined codetalkerinnovations as a Django & Extension Developer. Here, they worked on various eCommerce sites and chrome extensions, showcasing their expertise in frontend development, Django, and chrome extension development. M stayed in this role until January 2021.
Most recently, Nouman joined Lyftrondata in February 2021 as a Python Developer. M continues to leverage their programming skills, specifically in Python, in this current role.
M Nouman's education history begins in 2015 when they attended the University of Gujrat for their Bachelor's degree in Software Engineering. This four-year program lasted until 2019, during which they focused their studies on Computer Science.
After completing their undergraduate degree, M Nouman pursued further education at Air University. From 2021 to 2023, they worked towards a Master of Science (MS) degree in Cyber Security. This program provided them with in-depth knowledge and expertise in this specialized field.
In summary, M Nouman's education journey includes a Bachelor's degree in Software Engineering from the University of Gujrat and a Master's degree in Cyber Security from Air University.
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Lyftrondata
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Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly available for insights on data hub. Lyftrondata Key Differentiators: > Create a Data Pipeline in Minutes: Register over 100+ types of data sources in one place. Choose the most valuable data sources and replicate them to the cloud. > Power Modern Delta Lake & Data Warehouse: Lyftrondata enables you to build a modern data warehouse and data lake in just a few clicks. Normalize all data sets and load the data to the data warehouse. Apply complex transformations with SQL when needed. > Shortens Time-to-insights: Empower data-savvy users to find and prepare the data they need for analytics. Enable real-time access to any data source from any BI tool. > Unlimited Compute: Lyftrondata enables you to compute on Databricks Spark and Snowflake. Thus, you have the flexibility to choose to compute on either of these modern platforms. > Integrate Multiple Clouds: Build a single view of data across different clouds and regions. Replicate data between different regions of the clouds and put them in sync. > Phase Transition to the Cloud: Migrate on-premise data warehouses to the cloud step-by-step. Create data pipelines for migrated data warehouses and legacy data warehouses in real-time. Not all data warehouses may be moved to the cloud in one step. > Build an Agile Data Culture: Empower data users to find and prepare the data they need in analytics. A fast data strategy based on a combination of a modern data pipeline and real-time data saves delays in data preparation. > Ensure Data Governance in the Cloud: Build a searchable data catalog of valuable data sources. Apply table, row, and column security to any data source on-premise, SaaS, or in the cloud. Build a governed data lake integrated with the enterprise active directory for authentication.
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