i
Rysun Labs
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I applied via Naukri.com and was interviewed before Mar 2023. There was 1 interview round.
I applied via Referral and was interviewed before Dec 2023. There was 1 interview round.
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
Background in statistics and programming
Experience in data analysis and visualization tools like Python, R, and Tableau
Strong problem-solving skills and attention to detail
Ability to communicate complex data findings to non-technical stakeholders
I rate myself as proficient in SQL with experience in writing complex queries and optimizing database performance.
Proficient in writing complex SQL queries
Experience in optimizing database performance
Familiar with database management systems like MySQL, PostgreSQL, etc.
I appeared for an interview in Jan 2025.
I applied via Referral and was interviewed in Sep 2024. There were 2 interview rounds.
Online aptitude test have been coundected
I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
It was a 30 minutes round questions on Python, SQL, Pyspark - scenario based question to write the code.
Dynamic file ingestion in ADF involves using parameters to dynamically load files into Azure Data Factory.
Use parameters to specify the file path and name dynamically
Utilize expressions to dynamically generate file paths
Implement dynamic mapping data flows to handle different file structures
Aggregation in Databricks refers to the process of combining and summarizing data in a Spark environment.
Aggregation functions like sum, count, avg, min, max can be used in Databricks to summarize data.
Grouping data based on certain columns and then applying aggregation functions is a common practice.
Aggregation can be performed on large datasets efficiently using Databricks' distributed computing capabilities.
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