Hemsagar S.

Data Scientist

Gurugram, Haryana, India8 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Certified Databricks Data Engineer with 5+ years of experience.
Expert in optimizing data pipelines and reducing costs.
Proven track record in enhancing data quality and reliability.

Stackforce AI infers this person is a Big Data Engineer specializing in SaaS solutions with a focus on Azure and Databricks.

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Skills

Core Skills

Data EngineeringAzure Data EngineeringBig Data Engineering

Other Skills

Azure DatabricksAzure Data FactoryDatabricksData QualitySQLTerraformAzure Data LakeApache SparkHDInsightData StructuresBigQueryPySparkAnthropic ClaudeDeltalakeAzure Service Fabric

About

Experienced and certified Databricks Data Engineer with over 5 years of expertise in data modelling, development, and optimization using Big Data and cloud ecosystems such as PySpark, Databricks, Azure, GCP, SQL, and Python . A team player with a knack for quickly analyzing and providing robust, precise solutions. Dedicated to continuously building and maintaining innovative skills while staying up-to-date with current industry trends and technologies.

Experience

8 yrs 4 mos

Total Experience

1 yr 11 mos

Average Tenure

7 mos

Current Experience

Fractal

Senior Data Engineer

Sep 2025 – Present · 7 mos · Noida, Uttar Pradesh, India · Hybrid

Pipeline Orchestration: Engineered and managed complex data pipelines using Azure Data Factory and Databricks Workflows, ensuring seamless end-to-end data movement.
Automated Quality Assurance: Developed and implemented robust Data Quality checks to identify and remediate anomalies, significantly increasing data reliability and downstream trust.
Operational Efficiency: Streamlined workflow scheduling and resource allocation in Databricks, reducing manual intervention and improving system uptime.
Cost & Time Optimization: * Reduced operational costs by 20% through the implementation of Databricks cluster autoscaling and optimized SQL transformation logic.
Decreased data processing time by 30% by refactoring legacy pipelines into high-performance parallelized workflows

Azure DatabricksAzure Data FactoryData EngineeringAzure Data Engineering

Publicis sapient

Senior Data Engineer

May 2023 – Aug 2025 · 2 yrs 3 mos · Noida, Uttar Pradesh, India · Hybrid

Designed and implemented scalable data pipelines using Databricks & Azure Data Factory .
Optimized pyspark queries and reduced data processing time by 30%.
Reduced project costs through efficient resource allocation and budget management practices
during development process by 20% .
Developed data quality framework to standardize and validate data.
Automated data ingestion and transformation processes to reduced manual effort by 40% .

TerraformAzure Data LakeData EngineeringAzure Data Engineering

Dunnhumby

Big Data Engineer

Apr 2022 – May 2023 · 1 yr 1 mo · Gurugram, Haryana, India · On-site

Automated ETL Pipeline across billion of rows of transactional data using HDInsight, Azure Data Factory & Azure Synapse Analytics.
Played key role in spark queries optimizations and reduced running time by 2 hours each day.
Optimized Synapse storage by 40% .
Create Multi layer architecture to simplify data governance rules.
Handling enhancement request, bug fixing, documentation and production support.

SQLApache SparkBig Data Engineering

National informatics centre, meity

Scientific Assistant

Jul 2019 – Apr 2022 · 2 yrs 9 mos · Pune, Maharashtra, India · On-site

Worked on extracting, cleaning and loading data to BigQuery tables using pyspark.
Worked on performance tuning and reduced running time by 3 hours each day.
Optimized bigquery storage by 50% .
Automated whole data pipeline to reduce manual effort, errors and improved data quality.
Reduced project costs through efficient resource allocation and budget management practices during
development process.

SQLData StructuresData Engineering