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Pawel T Terlecki

age ~44

from Miami, FL

Pawel Terlecki Phones & Addresses

  • Miami, FL
  • Seattle, WA
  • Bellevue, WA
  • Waukegan, IL

Work

  • Company:
    Mongodb
    Jan 2019
  • Position:
    Director of query engineering

Education

  • Degree:
    Doctorates, Doctor of Philosophy
  • School / High School:
    Warsaw University of Technology
    2004 to 2009
  • Specialities:
    Computer Science

Skills

Software Development • Microsoft Sql Server • C++ • Software Engineering • Java • Web Applications • Enterprise Software • Business Intelligence • Computer Science • Agile Methodologies • Distributed Systems • Crm • Windows • Xml • Software Design • Sql • Hibernate • C# • Tomcat • Databases

Languages

English • Polish • French • German

Industries

Computer Software

Us Patents

  • Parameter-Sensitive Plans

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  • US Patent:
    20110167056, Jul 7, 2011
  • Filed:
    Jan 4, 2010
  • Appl. No.:
    12/651634
  • Inventors:
    Nimish S. Khanolkar - Bellevue WA, US
    Pawel Terlecki - Bellevue WA, US
    Cesar A. Galindo-Legaria - Redmond WA, US
    Yavor V. Angelov - Redmond WA, US
    Mostafa Elhemali - Seattle WA, US
    Pooja N. Darera - Redmond WA, US
  • Assignee:
    MICROSOFT CORPORATION - Redmond WA
  • International Classification:
    G06F 17/30
  • US Classification:
    707718, 707E17014
  • Abstract:
    A query configured according to a query template is received. The query includes values for a plurality of parameters. A key is generated for the query that indicates a selectivity region in a selectivity space determined for the included parameter values. Whether the generated key matches any key of a plurality of keys is determined. Each key of the plurality of keys is associated with a corresponding query plan. If the generated key is determined to not match any of the keys, the query is compiled to generate a new query plan, and the generated query plan is executed with respect to the query. If the key is determined to match any key of the plurality of keys, a query plan associated with the matched key is selected, and the query plan associated with the matched key is executed with respect to the query.
  • Blending And Visualizing Data From Multiple Data Sources

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  • US Patent:
    20220309066, Sep 29, 2022
  • Filed:
    Jun 14, 2022
  • Appl. No.:
    17/840546
  • Inventors:
    - Seattle WA, US
    Ross Bunker - Seattle WA, US
    Marianne Shaw - Seattle WA, US
    Pawel Terlecki - Seattle WA, US
  • International Classification:
    G06F 16/2453
    G06F 16/248
    G06F 16/2455
    G06F 16/28
    G06F 16/9535
  • Abstract:
    A user selects a first group of one or more dimension fields that specifies a primary aggregation for a data visualization, where the one or more dimension fields are in a first data source. When one or more first dimension fields in the first group are not dimension fields in a second data source, a client device joins the first data source with the second data source at a first level of detail that is more granular than the primary aggregation to form a single combined data set that includes the one or more dimension fields specified in the first group and one or more measure data fields aggregated according to the first group. The client device rolls up the combined data set, including the one or more measure data fields, to form a final data set and displays the data visualization using the data from the final data.
  • Systems And Method For Processing Timeseries Data

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  • US Patent:
    20230037619, Feb 9, 2023
  • Filed:
    Jul 6, 2022
  • Appl. No.:
    17/858957
  • Inventors:
    Pawel Terlecki - Miami FL, US
    Geert Bosch - Brooklyn NY, US
    James Wahlin - Queens NY, US
    Eric Cox - Brooklyn NY, US
    Edward Tuckman - New York NY, US
    Bora Beran - New York NY, US
  • International Classification:
    G06F 16/22
    G06F 16/2458
  • Abstract:
    In some implementations, events measured at various points in time may be organized in a data structure that defines an event represented by a document. In particular, events can be organized in columns of documents referred to as buckets. These buckets may be indexed using B-trees by addressing metadata values or value ranges. Buckets may be defined by periods of time. Documents may also be geoindexed and stored in one or more locations in a distributed computer network. One or more secondary indexes may be created based on time and/or metadata values within documents.
  • Systems And Method For Processing Timeseries Data

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  • US Patent:
    20230040530, Feb 9, 2023
  • Filed:
    Jul 6, 2022
  • Appl. No.:
    17/858950
  • Inventors:
    Pawel Terlecki - Miami FL, US
    Geert Bosch - Brooklyn NY, US
    James Wahlin - Queens NY, US
    Eric Cox - Brooklyn NY, US
    Edward Tuckman - New York NY, US
    Bora Beran - New York NY, US
  • International Classification:
    G06F 16/22
  • Abstract:
    In some implementations, events measured at various points in time may be organized in a data structure that defines an event represented by a document. In particular, events can be organized in columns of documents referred to as buckets. These buckets may be indexed using B-trees by addressing metadata values or value ranges. Buckets may be defined by periods of time. Documents may also be geoindexed and stored in one or more locations in a distributed computer network. One or more secondary indexes may be created based on time and/or metadata values within documents.
  • Systems And Method For Processing Timeseries Data

    view source
  • US Patent:
    20230041129, Feb 9, 2023
  • Filed:
    Jul 6, 2022
  • Appl. No.:
    17/858951
  • Inventors:
    Pawel Terlecki - Miami FL, US
    Geert Bosch - Brooklyn NY, US
    James Wahlin - Queens NY, US
    Eric Cox - Brooklyn NY, US
    Edward Tuckman - New York NY, US
    Bora Beran - New York NY, US
  • International Classification:
    G06F 16/2458
    G06F 16/22
  • Abstract:
    In some implementations, events measured at various points in time may be organized in a data structure that defines an event represented by a document. In particular, events can be organized in columns of documents referred to as buckets. These buckets may be indexed using B-trees by addressing metadata values or value ranges. Buckets may be defined by periods of time. Documents may also be geoindexed and stored in one or more locations in a distributed computer network. One or more secondary indexes may be created based on time and/or metadata values within documents.
  • Database System For Executing Parameter-Sensitive Query

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  • US Patent:
    20150032723, Jan 29, 2015
  • Filed:
    Oct 14, 2014
  • Appl. No.:
    14/514259
  • Inventors:
    - Redmond WA, US
    Pawel Terlecki - Bellevue WA, US
    Cesar A. Galindo-Legaria - Redmond WA, US
    Yavor V. Angelov - Redmond WA, US
    Mostafa Elhemali - Seattle WA, US
    Pooja N. Darera - Redmond WA, US
  • International Classification:
    G06F 17/30
  • US Classification:
    707718
  • Abstract:
    A query is received. The query comprises a plural number of efficiency expressions. A key is generated for the query indicating a first selectivity region in multi-dimensional selectivity space comprising an array of selectivity regions arranged according to a grid with a number of dimensions equal to the plural number. The generated key is used to look up a stored query plan among a plurality of stored query plans. A stored query plan is executed for the query that is associated with a stored key determined to match the generated key.

Resumes

Pawel Terlecki Photo 1

Director Of Query Engineering

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Mongodb
Director of Query Engineering

Tableau Software Jul 2017 - Dec 2018
Principal Software Engineer and Senior Software Development Manager

Tableau Software Nov 2014 - Jun 2017
Principal Software Engineer and Software Development Manager

Tableau Software Jul 2013 - Nov 2014
Principal Software Engineer and Software Development Lead

Tableau Software Mar 2010 - Jun 2013
Senior Software Engineer
Education:
Warsaw University of Technology 2004 - 2009
Doctorates, Doctor of Philosophy, Computer Science
University of Warsaw 2003 - 2006
Bachelors, Bachelor of Science, Economics
Warsaw University of Technology 1999 - 2004
Master of Science, Masters, Computer Science
Skills:
Software Development
Microsoft Sql Server
C++
Software Engineering
Java
Web Applications
Enterprise Software
Business Intelligence
Computer Science
Agile Methodologies
Distributed Systems
Crm
Windows
Xml
Software Design
Sql
Hibernate
C#
Tomcat
Databases
Languages:
English
Polish
French
German

Facebook

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Pawel Terlecki

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Friends:
Gail Gracey, Dermot Doherty, Ilona Szubska, Kevin Bonner, Gary Hughes
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Pawel Terlecki

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Myspace

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