Lyftrondata
Shagufta B. has a wealth of experience in the field of data integration and ETL (Extract, Transform, and Load) processes. Shagufta currently holds the position of Chief Technology Officer & Co Founder at Lyftrondata, a role they have held since September 2020. Prior to this, they worked at BigData Dimension Labs from April 2017 to September 2020, where they served as the Snowflake & Data Integration Practice Head.
Shagufta has also gained extensive experience in various senior-level positions in prominent companies such as Star2Star Communications, CareFirst BlueCross BlueShield, FYI Solutions, Arcogent Inc., The National Institutes of Health, Infomatics Corp, eBay Inc, and Apollo Group. In these roles, they showcased their expertise as a Talend ETL Architect, Talend/Ab-Initio/BI Consultant, Talend ETL Consultant, and ETL/BI Consultant, among others. Shagufta'sresponsibilities included implementing data integration processes, developing ETL mappings, and managing datawarehouse projects.
Throughout their career, Shagufta has demonstrated their proficiency in utilizing tools such as Informatica, Talend Integration Suite, and Datastage to optimize data integration and ETL processes. Shagufta'swork experience spans a wide range of industries and has given their a comprehensive understanding of data management and analysis.
Shagufta B. obtained a Bachelor of Science in Business Administration (BS-BA) from A M U between 1997 and 2000. Later, from 2000 to 2002, they pursued an Advanced Diploma in Software Development at the National Institute of Information Technology, focusing on subjects such as Data Warehousing, Database Development, Oracle, and SQL-Server. In 2011, Shagufta B. attended Goldey-Beacom College, where they completed their Master of Business Administration (MBA) with a specialization in Information Technology.
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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.
Employees
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