Jamshid Allayev
Sr. BI Data Engineer at KPMG | Expert in Azure | AWS | Snowflake | SQL | Databricks | Big Data | ETL | Data Warehousing | Data Analytics | dbt | Design full-scale data infrastructures to improve decision-making.
- Role
- Senior Bi Data Engineer at KPMG
- Location
- Orlando, FL, US
- LinkedIn followers
- 500 followers
About Jamshid Allayev
I had a good experience with SQL and Python from a young age, which sparked my passion…
Experience
Senior Bi Data Engineer
Jan 2020 — Present · Orlando, FL, US
As a Senior Data Engineer at KPMG, I bring value by gathering business requirements to design effective data solutions, mentoring teams, and optimizing ETL pipelines and cloud-based data warehouses for faster, data-driven insights.Key Achievements Boosted data integration by 40% by developing ETL pipelines with Azure Data Factory, Databricks, and AWS Glue, leading to faster data processing across sources.Enhanced data warehouse performance using Kimball\'s Star and Snowflake Schema methodologies with SQL Server and Azure Synapse Analytics, improving reporting and analysis.Ensured data accuracy by using Glue Crawlers, Python (Pandas, NumPy), and validation routines, improving data transformation and integration.Accelerated cloud migration by 50% with Azure Data Factory, Logic Apps, and Function Apps, ensuring smooth data flow to Azure Synapse Analytics.Streamlined big data processing by 45% through Spark applications in Databricks with PySpark and Spark SQL, transforming diverse data formats efficiently.Increased data accessibility by 30% by integrating Redshift with BI tools, optimizing SQL queries, and designing schemas for high-performance analytics.Automated data tasks using Python scripts and Spark applications in Databricks, reducing manual effort and enhancing data transformation.Enabled faster data exploration via AWS Athena, optimizing ad-hoc SQL queries on Amazon S3 for improved analysis and insights.Enhanced data monitoring using Azure Monitor, Kusto Log Analytics, Logic Apps, and Function Apps, enabling comprehensive event tracking.Optimized data processing by 40% by integrating Snowflake with Databricks, leveraging PySpark for ETL transformations, and loading structured data into Snowflake for advanced analytics.Enhanced data pipeline efficiency by using dbt for data modeling in Snowflake, transforming raw data from Azure Data Lake, and developing scalable Databricks notebooks for data cleansing and aggregation.
Education
Uzbek State World Languages University
Bachelor's degree, International Business
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.