Lyftrondata
Haider Bazmi has work experience as a Senior Software Engineer at Lyftrondata since November 2022. Prior to that, they worked at Tenovos from August 2019 to November 2022 in the same role. Before joining Tenovos, Haider worked at Systems Limited as a Senior Software Engineer from February 2018 to July 2019. Haider worked on Telenor's main product MTA and the website telenor.com.pk. In 2017, Haider was a Full Stack Developer at Artbees from February to November. From January 2016 to January 2017, they served as a Senior Software Engineer at AppsGenii. Haider began their career as a Software Engineer at LEADconcept from January 2015 to January 2016, where they focused on project planning, analysis, and developing projects. Haider's first job was as a Jr. Software Engineer at Future Vision Technologies Lahore from January to December 2014.
Haider Bazmi completed their education in the field of Computer Science. Haider obtained a BS degree from The University of Lahore, where they studied from 2010-2014. Prior to that, they attended Govt Degree College from 2008-2010 where they studied I.C.S (Intermediate in Computer Science). In addition to their formal education, Haider also obtained a certification in Web Development Competition from Daira 14 in October 2014.
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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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