DESIGNATION

FIRST_NAME

LAST_NAME

PHONE

EMAIL

WORK_EXPERIENCE

OTHER_LINKS

FACEBOOK_URL

TWITTER_URL

GITHUB_URL

LINKEDIN_URL

EDUCATION

RESUME

PHOTO

NOTICE_PERIOD

PREFERRED_LOCATION

ONLINE_PORTFOLIO

ADDRESS

TOTAL_WORK_EXPERIENCE

GENDER

Zorba is the new age analytics provider that brings data driven decision to life for its clients. We believe in getting analytics executed on ground with the client team rather than just creating complex machine learning or predictive modelling algorithms. 

We offer services across the spectrum ranging from analytics training and setting up data centres to delivering analytics based strategic consulting solutions. One of the key value adds we do is with the speed at which we deliver solutions.

Headquartered in Mumbai, Zorba was conceived with an objective of creating value for businesses in near future rather than long term. We are experts in leveraging big data, building data driven solutions and operationalizing analytics at each stage of decision making process with following key offerings: 

•	Data Visualization and Dashboard design
•	Predictive Modelling Algorithms
•	Data Management and Transformation
•	Analytics based reporting solutions
•	Marketing and Business Process Optimization

Witnessing the stories of success and failure of numerous businesses at different stages, we came to the conclusion that every business can be successful if improvisation continues relentlessly. 

We want to make this process faster and smarter for our clients in their quest for growth by hand holding through data analytics and strategic leadership for effective decision making. 

You can follow us on :
https://www.quora.com/profile/Yash-Chaudhary-516
https://www.instagram.com/zorbaconsulting/?hl=en
https://twitter.com/ConsultingZorba
https://www.facebook.com/Zorbaconsulting/

Zorba Consulting India

Responsible for building and maintaining data pipelines and transformation logic using PySpark/Databricks, enabling analytics and reporting use cases. Roles &amp; Responsibilities
<ul>
<li>Develop ETL/ELT data pipelines using PySpark/Spark leveraging lakeflow declarative pipelines.</li>
<li>Perform data transformation, cleansing, and enrichment.</li>
<li>Optimize Spark jobs for performance and cost efficiency.</li>
<li>Build datasets for analytics, reporting, and BI consumption.</li>
<li>Leverage AWS query federation SDK/Databricks Datasource API for query federation.</li>
<li>Work with multiple data sources (S3, APIs, etc.).</li>
<li>Support data validation, reconciliation, and testing.</li>
<li>Collaborate with architects, analysts, and downstream teams.</li>
</ul>
Qualifications
<ul>
<li>3-8 years of experience in data engineering / analytics.</li>
<li>Hands-on development experience in PySpark/Databricks and Python.</li>
<li>Strong Experience in PySpark, Spark SQL.</li>
<li>Strong Experience in Python.</li>
<li>Strong Experience in Databricks.</li>
<li>Strong Experience in SQL.</li>
<li>Experience in Data transformation &amp; pipeline development.</li>
</ul>

single_text

Data Analyst_3+yrs

Work Experience*

Total years of experience*

Educational details*