Ashu Yadav

Data Engineer

Pune, Maharashtra, India3 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed scalable data pipelines improving deployment speed by 20%.
Migrated datasets to Snowflake enhancing performance and insights.
Skilled in building efficient ETL workflows for diverse datasets.

Stackforce AI infers this person is a Data Engineer with expertise in SaaS data solutions and pipeline optimization.

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Skills

Core Skills

Data EngineeringEtl

Other Skills

API-based ingestionAWS Identity and Access Management (AWS IAM)Amazon S3Amazon Web Services (AWS)Azure Cosmos DBAzure Data FactoryAzure DatabricksC (Programming Language)CSSCore JavaData AnalysisData qualityEngineeringHTMLInternet Protocol Suite (TCP/IP)

About

Data Engineer with 2 years of experience in Python, SQL, PySpark, ETL pipelines, Snowflake, and AWS. Skilled in building scalable data workflows, optimizing Data Lake and Warehouse systems, and ensuring high data quality. Experienced in API-based ingestion, automation, and distributed processing. Passionate about creating reliable, efficient data solutions that power analytics and business decisions.

Experience

3 yrs 8 mos

Total Experience

3 yrs 8 mos

Average Tenure

3 yrs 8 mos

Current Experience

Cognizant

2 roles

Data Engineer

Mar 2023 – Present · 3 yrs 2 mos · Pune, Maharashtra, India · Hybrid

Designed and optimized scalable data pipelines using Python, PySpark, and SQL to process large volumes of communication data. Built ETL workflows for B2C and B2B datasets and integrated AEM metadata to ensure accurate communication layouts across analytics systems. Automated real-time ingestion through API-based pipelines, improving deployment speed by 20%. Strengthened data reliability with rigorous quality checks, reducing post-deployment issues by 15%. Supported migration of communication datasets to Snowflake, enhancing performance and enabling deeper customer engagement insights.

PythonPySparkSQLETLSnowflakeAPI-based ingestion+2