Sameer Dongare has been selected as a judge for the 2024 Global Recognition Awards™. This esteemed role acknowledges Dongare's extensive expertise and significant contributions to the Data area in 'Transportation, Logistics, Supply Chain, and Storage industry.
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Sameer Dongare has been selected as a judge for the 2024 Global Recognition Awards™. This esteemed role acknowledges Dongare's extensive expertise and significant contributions to the Data area in 'Transportation, Logistics, Supply Chain, and Storage industry.
Dongare specializes in designing and implementing big data solutions that enable businesses to make informed decisions. With extensive experience in Azure Databricks, Spark SQL, PySpark, Spark Scala, Confluent Kafka, and Python, Dongare has demonstrated a proven track record of delivering scalable and efficient data pipelines supporting real-time processing and analytics.
Innovative Data Engineering Solutions
Dongare excels at collaborating with cross-functional teams to understand and translate business requirements into technical solutions. From data ingestion to processing and transformation, Dongare leverages expertise to ensure data pipelines are reliable, scalable, and secure. His deep understanding of cloud-based data platforms and the latest data engineering and architecture best practices have made him a trusted expert in the field.
By utilizing Azure Databricks, Spark SQL, PySpark, and other cutting-edge tools, Dongare has built batch and real-time data pipelines using Azure Data Factory and Confluent Kafka. "Ensuring businesses can process and analyze data efficiently is crucial for better decision-making and operational efficiency," Dongare remarks. This capability ensures businesses can process and analyze data efficiently, leading to better decision-making and operational efficiency.
Professional Journey and Achievements
As a Data Engineer/Architect, Dongare has significantly contributed to U-Haul and other companies. He has created streaming data pipelines using Spark structured streaming jobs to consume data from the Kafka topics /other sources, apply business transformation logic, and ingest the data into Databricks delta tables, making the transformed data available to the ML models and business dashboards. He has developed Kafka Producers to write transformed data from Databricks Delta tables into Kafka topics and Python programs to process data downloaded from APIs. Dongare has also implemented machine learning models using Azure ML, demonstrating strong Python scripting and data processing proficiency.
Dongare contributed to projects for American Express at Infosys, using Spark ML, Apache Spark, and Scala to train machine learning models and generate probability scores for customer offers. His role also involved aggregating variables for model training with Hive and developing a model recalibration module in Scala.
Dongare's career began at Tata Consultancy Services, where he worked on various projects, including ingesting privacy preference data from legacy systems into Hadoop and data reporting using Hive. This extensive experience across multiple organizations has equipped Dongare with a broad skill set and a deep understanding of data engineering principles.
Final Words
Alex Sterling from the Global Recognition Awards remarked, "Sameer Dongare exemplifies the qualities we seek in our judges. His ability to harness complex data engineering solutions and deliver scalable, real-time data pipelines is commendable. His appointment as a judge is proof of his dedication and expertise."
This appointment of Sameer Dongare as a judge for the 2024 Global Recognition Awards™ underscores the significant impact and value his innovative data engineering solutions bring to the transportation, logistics, supply chain, and storage industry.
About Global Recognition AwardsTM:
Global Recognition AwardsTM is an international organization that recognizes exceptional companies and individuals who have significantly contributed to their industry.
Contact Info:
Name: Alexander Sterling
Email: Send Email
Organization: Global Recognition Awards
Website: https://globalrecognitionawards.org/
Release ID: 89133770
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