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Emphasizes end-to-end ownership of data project lifecycles, driving innovation, performance improvements, and strong customer/stakeholder outcomes. Details senior leadership and mentoring experience as Team Lead, with accomplishments in AWS Redshift optimization and cost savings, storage reduction via table cleanup, ML model productionization on Amazon EMR, federated authentication and WLM tuning, and pipeline optimization delivering measurable throughput gains.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/daniel-hazan-resume-leadership-in-data-engineering/239631/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/daniel-hazan-resume-leadership-in-data-engineering/239631.png","ImageObject",442,249,{"name":88,"@type":89},"Himbo","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-09","2026-09-11",true,{"@type":98,"interactionType":99,"userInteractionCount":73},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is Daniel Hazan’s focus and experience level?","Question",{"text":108,"@type":109},"He is a senior, visionary data engineer with 8+ years across data engineering, BI engineering, and business analysis, with deep knowledge of the full data project lifecycle.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"Which technical tools and platforms does he list?",{"text":113,"@type":109},"He lists SQL databases (Redshift, PostgreSQL, MySQL, MSSQL, Athena), ETL/orchestration tools (Spark, Glue, EMR, Lambda, Kinesis, Step Functions, SQS/SNS, Airflow), and reporting/BI tools such as QuickSight and Looker, plus ML frameworks like TensorFlow and scikit-learn.",{"name":115,"@type":106,"acceptedAnswer":116},"What leadership responsibilities and results does he report?",{"text":117,"@type":109},"He led and mentored teams, including mentoring BI engineers and providing training; he also delivered outcomes such as cost savings, performance improvements, automation of reporting, and successful CI/CD deployment pipelines.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},239631,1791552105,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":79,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":73},687197100911,"https://ap-avatar.wpscdn.com/avatar/a000239b6f1da00475?x-image-process=image/resize,m_fixed,w_180,h_180&k=1785132997149421697","DANIEL HAZAN  \n\n| [dan@danielhazan.com |](dan@danielhazan.com |) (425) 681-6850 | 19277 136th Pl SE, Monroe, WA 98272 SUMMARY |  |\n| --- | --- |\n| Visionary and experienced Data Engineer with a proven track record of leading and collaborating with cross-functional teams to deliver high-impact data projects. Possessing 8+ years of experience in data engineering, business intelligence engineering, and business analysis, I have a deep understanding of the full lifecycle of data projects. Adept at driving innovation, improving performance, and exceeding customer expectations, I am now seeking a leadership role where I can leverage my skills to guide a team towards success and drive company-wide growth. With a strong commitment to personal and professional development, I am eager to take on challenging, influential projects that push me to expand my scope and make a lasting impact.\u003Cbr>TECHNICAL SKILLS |  |\n| SQL/Database: | Redshift SQL, PostgreSQL, MySQL, MSSQL, Athena |\n| ETL Tools & | Spark, Glue, EMR, Lambda, Kinesis, Step Functions, SQS, SNS, Airflow, |\n| Frameworks: | SQL Server Integration Services (SSIS), Data Build Tool (DBT)\u003Cbr>Amazon Specific: DataNet, Cradle, Maestro (CI/CD) |\n| Scripting: | Python, VBA, Java |\n| Reporting: | QuickSight, Looker, Excel |\n| Machine Learning: | TensorFlow, Scikit Learn |\n| Data Warehousing: | Data Modeling, Data Governance, Data Quality, Data Integration |\n| Other: | Django, Git, PHP, HTML, CSS, JavaScript/jQuery, C\\# |\n| EXPERIENCE |  |\n\nAmazon | Dec 2020 – Present  \nSenior Data Engineer / Team Lead | Dec 2021 – Present  \nDelivered impactful projects that optimized data pipelines, managed AWS accounts and Redshift clusters, and ensured data privacy compliance, resulting in significant reductions in processing time, increased efficiency, improved security, and successful outcomes, leveraging my expertise in SQL, Spark, Glue and Python.  \n•  Redshift Optimization & Cost Savings: Improved Redshift cluster storage and performance by changing node types, resulting in a reduced cluster size and $18k annual savings.  \n•  Duplicate/Unused Table Elimination: Created a Python-based AWS Lambda function to remove duplicate and unused tables freeing up 70TB of storage and boosting performance.  \n•  ML Model Productionization: Worked with Data Scientists to deploy ML models on Amazon EMR, using AWS Step Functions and AWS Lambda for job orchestration.  \n•  DE Team Lead & Mentor: Led a Data Engineering team, mentoring a direct report and providing training to the BIE team.  \n•  Redshift Federated User Authentication & WLM Configuration: Created Redshift user accounts using Amazon's federation server for auth as well as configured proper WLM, reducing query runtime by 6% and improving security.  \n•  Global Retail Event Pipeline Optimization: Optimized data pipeline for global retail events, reducing processing time by 18% .  \n•  CI/CD Deployment Pipeline Creation: Implemented CI/CD pipeline using Maestro for streamlined development, testing, and deployment.  \n•  AWS Budgeting: Led budgeting for multiple teams and determined cost-cutting measures, resulting in a 15% cost savings ($50k) .  \nSenior Business Intelligence Engineer | Dec 2020 – Dec 2021  \nImprove the accuracy, consistency, and quality of data and reports, resulting in automation of manual processes, creation of industry-standard AWS solutions, and improved efficiency, security, and stakeholder satisfaction, playing a critical role in expanding programs and making data management systems more performant and scalable.  \n•  Data Lake Migration to AWS: Migrated team data lake to AWS, using S3, AWS Glue, and Redshift Spectrum, reducing the time required to onboard new data sources.  \n• Team-Level Data Pipelines & Reporting: Improved accuracy and automation of reporting with key data mart tables and QuickSight visualizations, resulting in 12  \nreports/dashboards and 100% utilization of QuickSight for reporting.  \n•  Org-Level WBR Dashboard: Automated","cbCaigzX8OEiEO0N","https://ap.wps.com/l/cbCaigzX8OEiEO0N","pdf",207157,"English","# Summary\n## Technical Skills\n## Experience\n### Amazon\n### Crowd Cow\n### Lowe’s Canada/The Mine","[{\"question\":\"What is Daniel Hazan’s focus and experience level?\",\"answer\":\"He is a senior, visionary data engineer with 8+ years across data engineering, BI engineering, and business analysis, with deep knowledge of the full data project lifecycle.\"},{\"question\":\"Which technical tools and platforms does he list?\",\"answer\":\"He lists SQL databases (Redshift, PostgreSQL, MySQL, MSSQL, Athena), ETL/orchestration tools (Spark, Glue, EMR, Lambda, Kinesis, Step Functions, SQS/SNS, Airflow), and reporting/BI tools such as QuickSight and Looker, plus ML frameworks like TensorFlow and scikit-learn.\"},{\"question\":\"What leadership responsibilities and results does he report?\",\"answer\":\"He led and mentored teams, including mentoring BI engineers and providing training; he also delivered outcomes such as cost savings, performance improvements, automation of reporting, and successful CI/CD deployment pipelines.\"}]","Daniel Hazan Resume - Leadership in Data Engineering | PDF",1789151160]