Daniel Queiroz
Senior Data Engineer at Elastacloud
Based in Recife, Brazil
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Seniority
Staff
Department
Information Technology
Location
Recife
Industry
IT Services and IT Consulting
Company size
95
Contact information
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d•••••••@elastacloud.com
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Background
About Daniel Queiroz
About 17 years of experience working in the technology industry, developing data products and APIs in different sectors such as oil and gas, e-commerce and financial market (equity and derivatives). Deep knowledge of standard software engineering methodologies, including agile methodologies, coding standards, code reviews, build processes, testing, distributed systems, and data architectures for batch and streaming pipelines. Strengths in data processing, modelling, data quality, ETL development, and data warehousing. Proficient in Python, Scala and SQL for functional and object-oriented programming. Experience providing technical mentoring in data engineering. Skllset: Python / Scala / Spark / Big Data / Batch and Streaming Ingestion / Scraping / API Development- AWS - Data Storage: DynamoDB, Data Lakes, ElasticSearch - Data Ingestion (Batch): Lambda, EMR, Glue, SQS, EventBridge - Data Ingestion (Streaming): Kinesis Streams, Kinesis Firehouse - Data Analytics: RedShift, Athena, Kibana - Azure - Data Storage: Azure Data Lake / SQL Server - Data Ingestion (Batch): Azure Functions, Data Factory, EventGrid, Databricks - Data Ingestion (Streaming): Databricks (AutoLoader, Structured Streaming), Azure Event Hubs - Data Analytics: Synapse Analytics, ADX (Azure Data Explorer), PowerBI, Purview
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