Found email addresses for Daniel Jasbick:
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A different Daniel Jasbick?
Sign up to search for other Daniel Jasbick's across our 850M+ professionals databaseWork Experience 5 years
Sep 2024 - Current
Aug 2023 - Sep 2024
Jul 2023 - Sep 2024
Jun 2022 - Jun 2023
May 2021 - Jun 2022
Education
Ph.D. ABD at Universidade Federal Fluminense
M.Sc. at Universidade Federal Fluminense
Undergraduate at Universidade Federal Fluminense
Cultural Center for Language Studies
Skills
Data Engineering, Amazon Relational Database Service (RDS), Databases, Apache Spark, Data Governance, Data Visualization, Hadoop, Azure Data Factory, Docker Products, Tableau, English as a Second Language (ESL), Elasticsearch, Data Architecture, Fivetran, Jenkins, Amazon EC2, Amazon Kinesis, Google BigQuery, Prefect Dataflow Automation, Artificial Intelligence (AI), DevOps, Apache Airflow, Azure Databricks, Scala, Databricks, Data Structures, Data Analysis, Machine Learning, PySpark, Superset, Microservices, Microsoft Power BI, Cloud Computing, Kubernetes, Data Lakehouse, AWS Step Functions, Extract, Transform, Load (ETL), Amazon Web Services (AWS), NoSQL, Java, Data Modeling, Agile Methodologies, Master Data Management, Distributed Databases, Hive, Platform as a Service (PAAS), Snowflake, Talend, GraphQL, CircleCI, Data Processing, Data Quality, Distributed Computing, Python, Data Integration, Continuous Integration and Continuous Delivery (CI/CD), Python (Programming Language), RDBMS, Infrastructure as code (IaC), MapReduce, Software Development, SQL Tuning, Git, AWS Lambda, Apache Kafka, Looker, ETL Tools, Data Analytics, AWS Glue, Natural Language Processing (NLP), Application Programming Interfaces (API), Airflow, Master Data, Business Intelligence (BI), dbt (Data Build Tool), Microsoft Azure, Database Design, Infrastructure as a Service (IaaS), Google Cloud Platform (GCP), Amazon Redshift, Data Science, Snowflake Cloud, Athena, Data Management, Amazon S3, Cloud Infrastructure, Data Warehousing, Informatica MDM, Presto, Terraform, SQL, AWS CloudFormation, Distributed Systems, Programming, Data Pipelines, Kafka, Medallion Architecture, Azure Synapse Analytics, Dagster, Big Data AnalyticsFrequently Asked Questions
What is Daniel Jasbick's email address?
SignalHire found a verified business email address for Daniel Jasbick: j***********l@accruent.com.What is Daniel Jasbick's phone number?
SignalHire found a verified phone number for Daniel Jasbick: +55-***-***-8712.How do I contact Daniel Jasbick at Accruent?
You can reach Daniel Jasbick through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Daniel Jasbick's professional background?
Daniel Jasbick has 5 years of professional experience. They have held roles including Senior Data Engineer, Senior Consultant, Data Engineering, and Data Engineer at companies such as Novo Nordisk, EY, and PrimeUp. Their education includes Ph.D. ABD from Universidade Federal Fluminense, and M.Sc. from Universidade Federal Fluminense.Is Daniel Jasbick's contact information up to date?
Yes. Daniel Jasbick's SignalHire profile was last updated on 20 April 2026, reflecting their current position as Senior Data Engineer at Accruent in Austin, Texas, United States.Similar profiles
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