Sukhjinder Singh work email
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Sukhjinder Singh personal email
Hello and welcome! Thanks for visiting my profile. About me:I enjoy understanding users' business requirements and helping them with the right data that will help them grow their businesses. Bio:With over 8 years of experience, I offer a diverse skill set that can be leveraged for a Lead level position across any functional sector within an IT organization of repute. I have experience in migrating SQ4 database to Azure Data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks, and Azure SOL Data warehouse while controlling and granting database access. Additionally, I have experience in migrating On-premises databases to Azure Data Lake store using Azure Data factory.My experience also includes developing Spark applications using Spark-SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats to analyze and transform data to uncover insights into customer usage patterns. I have a good understanding of Spark architecture, including Spark Core, Spark SQL, Data Frames, Spark Streaming, Driver Node, Worker Node, Stages, Executors, and Tasks.My knowledge also extends to Big Data Hadoop and Yarn architecture, along with various Hadoop Demons such as Job Tracker, Task Tracker, Name Node, Data Node, Resource/Cluster Manager, and Kafka (distributed stream-processing). In addition, I have experience in database design and development with Business Intelligence using SQL Server 2014/2016, Integration Services (SIS), DTS Packages, SQL Server Analysis Services (SSAS), DAX, OLAP Cubes, Star Schema, and Snowflake Schema.With domain knowledge in Finance, Fraud, Logistics, and Health Insurance, I have built and maintained data pipelines using SQL, Python, and Git to enable teams to self-serve the data and reports they need. I have expertise in various phases of project life cycles, including design, analysis, implementation, and testing.As much as I love building my technical capability, I am equally passionate about the mastering product and industry knowledge and understanding the business use case or problem that the product/utility solves. I prioritize knowing the "Why?" before jumping into coding or building any technical solution.Feel free to DM me here or send an email to sukhjindermultani85@gmail.com for any exciting opportunities in the data analytics field to solve complex or simple business problems in the most efficient way using modern solutions.If you're looking for someone with my skills and experience, please don't hesitate to reach out.
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Data EngineerMicrosoftSacramento, Ca, Us
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Senior Data EngineerMicrosoft Dec 2019 - Jun 2024Redmond, Washington, Us• involved in the snowflake implementation and used various objects like snowflake Streams,Tasks,Shares. • Worked on DBT ( ELT tool) connection setup with Snowflake and have used DBT cloud to execute ELT pipelines in Snowflake. • Implemented Snowflake Continuous Data Loading, Snowflake Time Travel & Fail-safe and secured Data Sharing. • Define virtual warehouse sizing for Snowflake for different type of workloads. • Created streams on top of staging/Satellite tables for the change data capture. • Scheduled the tasks to trigger every min, once the stream captures the data from the staging table. • Develop stored procedures/views in Snowflake to load data into HUB and Satellite tables and the consumption Mart. • Worked on the DBT to connect snowflake DB and create the models to transform the data. • Worked on the swagger API UI to create the workflow creation/Extract to trigger automatically once the data loads are completed/validation completes. • Involved in Using the AZURE COSMO DB to unload the snowflake data,store the event log information in the log tables and the meta config info for the workflow related objects. • Used COPY to bulk load the data. • Created data sharing between two snowflake accounts. • Created internal and external stage and transformed data during load. • Redesigned the Views in snowflake to increase the performance. • Unit tested the data between PNA/GPA/AIS and Snowflake. • Good working knowledge of any ETL tool (ESP, SNOWFLAKE). • Validating the data from PNA to Snowflake to make sure it has Apple to Apple match. • Consulting on Snowflake Data Platform Solution Architecture, Design, Development and deployment focused to bring the data driven culture across the enterprises
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Senior Data EngineerGe Grid Solutions May 2019 - Nov 2019Boulogne-Billancourt, Île-De-France, Fr● Developed intricate algorithms based on deep-dive statistical analysis and predictive datamodeling that were used to deepen relationships, strengthen longevity and personalizeinteractions with customers.● Analyzed and processed complex data sets using advanced querying, visualization andanalytics tools.● Using the clustering algorithm (K-Means) for finding the similar devices in a station and findthe bad measurement for tuning the state estimator.● Built a predictive model to predict the likelihood that bad measurement based on weather,emergency as well as fire which result in 40 % influences. -
Data ScientistWashinton State University Feb 2017 - Jun 2018● Utilized numerous statistical techniques, including sensitivity analysis on non-linearpropagation of errors, Markov-Chain Monte Carlo for model building,hyperparameter tuningand hypothesis testing via information criterion.● Research on smart meter power forecasting deep learning on a large dataset (15billions+).Constructed data processing pipelines including data cleaning, feature engineering, modelselection, training and evaluation.○ Building deep learning regression models on smart meter data achieve to forecastenergy demand to use energy most efficiently and save energy losses.○ Build Multi-class classifier models based on ML and DL algo’s including logisticregression, SVM, KNN, Decision tree, boosting, text mining, and Random forest toclassify which plan fitbest based on their energy behaviour.
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Data ScientistCiti Bank Aug 2015 - Mar 2016• Applied breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop). • Migrated data from Heterogeneous Data Sources and legacy system (DB2, Access, Excel) to centralized SQL Server databases using SQL Server Integration Services (SSIS). • Applied Descriptive statistics and Inferential Statistics on varies data attributes using SPSS to draw insights of data regarding providing products and services for patients. -
Data EngineerDappstudio Jun 2014 - Jul 2015
Sukhjinder Singh Skills
Sukhjinder Singh Education Details
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Washington State UniversityData Science -
Lovely Professional UniversityComputer Science
Frequently Asked Questions about Sukhjinder Singh
What company does Sukhjinder Singh work for?
Sukhjinder Singh works for Microsoft
What is Sukhjinder Singh's role at the current company?
Sukhjinder Singh's current role is Data Engineer.
What is Sukhjinder Singh's email address?
Sukhjinder Singh's email address is su****@****oft.com
What schools did Sukhjinder Singh attend?
Sukhjinder Singh attended Washington State University, Lovely Professional University.
What skills is Sukhjinder Singh known for?
Sukhjinder Singh has skills like Machine Learning, Data Analysis, Artificial Intelligence, Sql, Data Science, Microsoft Office, Java, Genomics, Java Database Connectivity, Hadoop, Artificial Neural Networks, Mysql.
Who are Sukhjinder Singh's colleagues?
Sukhjinder Singh's colleagues are Milena Kowalczyk, Damola ‘d’ O., Imani A. Murph, Ph.d., Marjorie Albornoz, 贺晓明, Dmytro Rutkovskyi, Ozi Boms.
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