H

Harsh S.

Data Engineer

Delhi, India2 yrs 7 mos experience

Key Highlights

  • Reduced manual reporting effort by 85% through automation.
  • Accelerated processing times by 50% with optimized ETL solutions.
  • Expert in building scalable, cloud-based data pipelines.
Stackforce AI infers this person is a Data Engineer specializing in SaaS and cloud-based data solutions.

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Skills

Core Skills

Data EngineeringEtlCloud Computing

Other Skills

AWSAWS GlueAirflowAlgorithmsAmazon AthenaAmazon Elastic MapReduce (EMR)Amazon RedshiftAmazon S3Amazon Web Services (AWS)Apache KafkaApache SparkAzure DatabricksBRDBig DataBootstrap

About

As a Data Engineer, I design and build scalable, cloud-based data pipelines that power data-driven decisions. My expertise spans PySpark, Databricks, AWS, Airflow, and dbt, with a strong focus on automating workflows, streamlining data ingestion, and improving accuracy and efficiency in large-scale systems. In my recent role at ZS Associates, I partnered with cross-functional teams to deliver robust ETL solutions that reduced manual effort by 85% and accelerated processing times by 50%. My work enabled better decision-making by transforming complex datasets into clean, accessible, and actionable insights. I’m passionate about leveraging technology to solve real-world problems and enabling business growth through efficient, reliable, and future-ready data solutions.

Experience

2 yrs 7 mos
Total Experience
1 yr 9 mos
Average Tenure
10 mos
Current Experience

Bharatpe

Data Engineer

Aug 2025Present · 10 mos · Gurugram · On-site

  • Currently working as Data Engineer at BharatPe
PySparkDatabricksAWSAirflowETLData Engineering

Zs

Data Engineer

Nov 2023Aug 2025 · 1 yr 9 mos · Gurugram, Haryana, India · On-site

  • Built and automated scalable ETL pipelines using PySpark, Databricks, and Airflow on AWS
  • Reduced manual reporting effort by 85% through automation in transparency reporting
  • Developed Strategic Insights data products leveraging Sales data, streamlining data retrieval for 6+ downstream teams.
  • Designed and orchestrated 15+ DAGs for CIDRe workflows, improving data reliability
  • Migrated legacy PostgreSQL system to AWS PySpark pipelines, cutting processing time by 50%
  • Led SIT, UAT, and Go-Live phases, collaborating with stakeholders to ensure seamless delivery
  • Authored BRDs, maintained Git workflows, and documented pipelines in Confluence

Horizon technologies

Web Development Intern

May 2022Jul 2022 · 2 mos · Noida, Uttar Pradesh, India · Hybrid

Echio

Public Relations Intern

May 2022Jul 2022 · 2 mos · Delhi, India · Remote

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Electrical and Computer Engineering

Jan 2019Jan 2023

VMC VIDYAMANDIR CLASSES

Aug 2018Feb 2019

Higher Secondary School - India

Jan 2018Present

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