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Shardul Singh

@shardulsingh

Data Engineer

NOIDA

linkedin.com/in/shardul-singh-95636916a/

ZS AssociatesShiv Nadar University

Data engineer with 3 years of experience specializing in designing and implementing efficient data pipelines using Azure cloud services. Expertise in driving robust analytics and delivering valuable business insights to support informed decision-making. Proven ability to leverage cloud technologies for scalable data solutions.

Experience

Data Engineer (Business Technology Solutions Associate)

ZS Associates

•Jan 2022 - Present•NOIDA

Automated conversion of 1500+ Parquet tables to Delta, reducing manual effort by 80%. Developed rollback scripts ensuring 100% recovery. Handled edge cases like empty tables and schema mismatches, ensuring 99.5% success rate. Optimized 10+ Delta pipelines, improving data processing efficiency by 40%. Developed and automated the creation and distribution process of target lists for Non-Personal Promotions across 6 healthcare brands, eliminating manual intervention and reducing processing time by 75% per brand. Played a critical role in testing during project re-architecture, automating testing processes. Addressed client needs through multiple change requests, resolving discrepancies in downstream extracts. Expertise includes developing Python scripts to transfer files from Azure Blob Storage to AWS S3.

Education

Shiv Nadar University

Bachelor of Technology

Compute Science Engineering

Jan 2018 - Jan 2022•Grade: 7.86 CGPA

Awarded ZS Project Impact Award (2x), ZS Collaboration Award, and ZS Growth Award.

Licenses & Certifications

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft

Issued: Oct 2024• No expiration

Microsoft Certified: Azure Data Fundamentals (DP-900)

Microsoft

Issued: Dec 2024• No expiration

Databricks Certified Associate Developer for Apache Spark 3.0 - Python

Databricks

Issued: Jan 2025• No expiration

Skills

MySQL
PySpark
Databricks
DevOps
Azure Data Factory
ADLS
SSMS
Apache Hive
ETL Tools
SQL Server Management Studio
Azure Data Lake Storage
Azure DevOps
AWS S3