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Shravya Pnpv

@shravyapnpv

Azure Data Engineer at Kagool Data

Hyderabad, India

linkedin.com/in/shravya-pnpv/

Kagool DataBITS PILANI

Shravya Pnpv is an experienced Data Engineer skilled in designing and maintaining robust ETL processes using Azure services. Proficient in leveraging Spark, Azure Synapse Analytics, and Python, they have a proven track record of building scalable data warehousing solutions. They also possess strong data analysis skills, demonstrated through creating KPI dashboards and developing complex data models.

Experience

Azure Data Engineer

Kagool Data

•Jul 2021 - Present•Hyderabad, India

Designed and maintained ETL processes by implementing data pipelines, resulting in a 30% gain in efficiency. Leveraged Spark to enable high-performance distributed data processing on large datasets ensuring scalability. Utilized Azure Synapse Analytics to establish scalable data warehousing solutions, involving data modeling using star schema and snowflake schema. Implemented CI/CD pipelines using Azure DevOps, automating the build, testing, and deployment processes. Collaborated with cross-functional teams comprised of data scientists, analysts, architects, and product owners within an agile environment to successfully deliver optimized solutions.

Data Analyst Intern

Goodera

•Sep 2020 - Jun 2021•Bangalore, India

Partnered with 8+ corporations, delivering KPI dashboards to illustrate the effectiveness of their investments. Designed and implemented efficient database schemas and utilized SQL to extract valuable insights from data.

Education

BITS PILANI

Bachelor of Engineering (Hons)

Jan 2016 - Jan 2021

Licenses & Certifications

Azure Fundamentals (AZ 900)

Microsoft

• No expiration

Azure Data Fundamentals (DP 900)

Microsoft

• No expiration

HackerRank Certification

HackerRank

• No expiration

SQL, Python data structures

University of Michigan

• No expiration

Databricks Lakehouse Platform essentials

Databricks

• No expiration

Skills

SQL
Spark
Python
ETL
Azure (Data Factory, Synapse Analytics, Databricks)
Excel
Hadoop
Power BI