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Accomplished Data Engineer with expertise in Azure Data Factory and Snowflake, previously at United Health Care. Successfully designed scalable data pipelines, enhancing analytics capabilities and reducing processing time by 60%. Adept at collaborating with cross-functional teams and implementing data governance strategies, driving impactful business insights through advanced data solutions.

Accomplished Data Engineer with over 5 years of experience leveraging Python, R, SQL, AWS, and Tableau to drive data-driven decision-making and enhance healthcare outcomes. Designed and implemented scalable data lake solutions using AWS Lake Formation, Azure Data Lake, and Google Cloud Storage, enabling 40% faster data processing and real-time analytics for business decision-making. Skilled in creating detailed JIRA stories, Visio diagrams, and PowerPoint presentations to facilitate project execution. Adept at working with AI/ML modules, risk management frameworks, and backend SQL-based systems in banking and financial environments. Engineered distributed data pipelines with Apache Spark, Databricks, and Hadoop HDFS, ensuring efficient processing of terabyte-scale datasets with advanced fault-tolerance mechanisms. Proficient in Python, SQL, and TypeScript, with expertise in version control systems like Git. Experienced in designing and maintaining ETL pipelines using Apache Spark, AWS Glue, and Airflow. Developed and optimized serverless ETL workflows using AWS Glue, Azure Data Factory, and GCP Dataflow, achieving high data quality and seamless integration of structured and unstructured data sources. Proficient in database design, administration, and optimization using NoSQL platforms (MongoDB, DynamoDB) and SQL databases (SQL Server, Snowflake, PostgreSQL) to ensure efficient, scalable data storage solutions. Expert in T-SQL development, including writing complex stored procedures, triggers, views, and performance tuning queries to optimize transaction processing in SQL Server. Implemented event-driven architectures with Apache Kafka, AWS Kinesis, and Azure Event Hubs, enabling real-time data streaming and analytics pipelines for critical applications. Enhanced data governance and schema management with Delta Lake, Apache Iceberg, and Hive Metastore, ensuring reliable and versioned data pipelines. Automated data ingestion pipelines using PySpark, Airflow DAGs, Terraform, and SSIS, reducing operational overhead and improving workflow efficiency. Optimized SQL query performance through advanced techniques like indexing, partitioning, and query refactoring in SQL Server, Redshift, and BigQuery, ensuring minimal query latency. Built dynamic data visualization dashboards with Tableau, Power BI, and Python libraries (Matplotlib, Plotly, Seaborn) to support actionable insights and informed decision-making. Applied Natural Language Processing (NLP) and Transformer-based models (BERT, GPT) to process unstructured text data, enabling advanced analytics in sentiment analysis and document automation workflows. Designed and deployed cloud-native architectures using AWS S3, Google BigQuery, Azure Synapse Analytics, and Terraform, enabling seamless data pipeline integration across hybrid cloud environments. Architected and optimized data warehouse solutions with Snowflake and Azure Synapse, implementing dimensional modeling, partitioning, and OLAP for large-scale analytical operations. Collaborated with DevOps teams to establish CI/CD pipelines for data engineering workflows using GitLab CI, Jenkins, Docker, Kubernetes, and Ansible, improving deployment reliability and scalability. Built real-time stream processing systems using Apache Flink, Spark Streaming, and Kafka Streams, ensuring sub-second latency for time-sensitive data analytics. Developed end-to-end machine learning model pipelines with tools like MLflow, TensorFlow Extended (TFX), and Kubeflow, integrating predictive capabilities into production environments.

 Data Engineer with 5+ years of experience in designing and developing enterprise-level, low-latency, fault-tolerant data platforms. Skilled in building distributed streaming data pipelines and analytics data stores using Spark, Flink, and Kafka. Proficient in Python, SQL, Scala, and clouds AWS, Azure), with a strong focus on CI/CD practices, security, and collaboration in agile environments. Experienced in supporting scalable cloud-based solutions and optimizing data processing for high-quality insights. Strong background in developing data pipelines, optimizing data storage & processing, and analyzing large-scale distributed systems. Applies SDLC methodologies & agile practices to deliver robust solutions for complex data engineering challenges. Adept at using visualization tools and experienced in cloud-based data architectures, ensuring efficient data management & analysis across diverse technological environments. 

Data Engineer with 5 years of expertise in architecting, building, and optimizing scalable data pipelines and architectures. Proficient in Apache Spark, Apache Kafka, and Hadoop for big data processing tasks. Experience with cloud platforms including Microsoft Azure and Google Cloud, utilizing services like Azure Data Factory and Google Cloud Dataproc. Skilled in implementing and optimizing data warehouse solutions such as Snowflake, Redshift, and Azure Synapse Analytics. Developed robust ETL/ELT processes using tools like Apache Airflow, Informatica, and Azure Data Factory. Proficient in data visualization tools like Tableau, Power BI, and Python libraries. Integrated machine learning models and algorithms using TensorFlow, Scikit-learn, and PySpark. Skilled in data mining techniques and experienced in data modeling. Utilized statistical analysis, hypothesis testing, and predictive modeling techniques to derive actionable insights. Developed database architectural strategies at the modeling, design, and implementation stages.

Detail-oriented Product Development Specialist with comprehensive experience in engineering and process optimization. Demonstrated ability to manage the entire product development lifecycle while leveraging AI and business intelligence for innovative solutions. Proven track record of thriving in fast-paced environments, delivering results that enhance operational efficiency.

Yotam Heller

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DATA ENGINEER

SENIOR ETL DEVELOPER

ETL DEVELOPER

SQL EXPERT & BI DEVELOPER

BI ANALYST

Education

BI Developer - Business Intelligence

B.A. - Electrical and Electronic Engineering

Skills

Military Service

Timeline

DATA ENGINEER

SENIOR ETL DEVELOPER

ETL DEVELOPER

SQL EXPERT & BI DEVELOPER

BI ANALYST

BI Developer - Business Intelligence

B.A. - Electrical and Electronic Engineering

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