Mansi Khandelwal

Data Engineer

Hyderabad, Telangana, India3 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Delivered cloud migration saving $20M+ annually.
Optimized SQL performance, improving analytics speed by 50%.
Engineered pipelines ingesting 100M+ records/day.

Stackforce AI infers this person is a Data Engineer specializing in scalable ETL/ELT solutions within the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringCloud MigrationEtl/elt

Other Skills

Agile & ScrumAirflowAmazon Web Services (AWS)CI/CD PipelinesCross-functional CollaborationsData LakesData ModelingData PipelinesData QualityData WarehousingDataflowELTETLExtract Load Transfer -ELTExtract, Transform, Load (ETL)

About

I am a Data Engineer with 3 years of experience designing and optimizing scalable ETL/ELT pipelines, cloud migrations, and real-time data platforms. Skilled in Python, SQL, PySpark, and Snowflake, with hands-on expertise across GCP, AWS, and Azure. Highlights of my impact: • Delivered on-prem to cloud migration projects generating $20M+ annual savings • Improved SQL/Snowflake query performance by 50%, enabling faster analytics • Built pipelines ingesting 100M+ records/day, boosting ingestion speed 3× • Automated workflows saving 160+ man-hours per week across teams Core Skills: Data Engineering | ETL/ELT | Data Warehousing | Cloud Platforms (GCP, AWS, Azure) | Apache Spark | Airflow | NiFi | Python | SQL | Snowflake | Data Modeling | Workflow Automation I am passionate about building efficient, scalable data solutions that empower data-driven decisions. Currently open to **Data Engineer opportunities in the UK/EU with visa sponsorship**.

Experience

Micron technology

2 roles

Data Engineer-2

Promoted

Jul 2023 – Present · 2 yrs 8 mos · Hyderabad, Telangana, India · Hybrid

Delivered a cloud migration project saving $20M+ annually and 160+ man-hours per week, adopted by 1,000+ engineers.
Built and maintained scalable ETL/ELT pipelines (Python, FastAPI, Pandas, GCP) with 99.9% uptime and automated monitoring.
Optimized Snowflake SQL transformations, reducing execution slot time by 60% and improving query speed by 50%.
Engineered high-throughput pipelines ingesting 100M+ records/day, enabling 3× faster ingestion and improved real-time analytics dashboards.
Designed and implemented scalable data models with cross-functional stakeholders, improving reporting and decision-making efficiency.

PythonFastAPIPandasGCPSnowflakeSQL+2

Associate Data Engineer

Aug 2022 – Jul 2023 · 11 mos · Hyderabad, Telangana, India · Hybrid

Designed and deployed end-to-end ETL pipelines using PySpark, Airflow, and GCP, improving data processing efficiency across global teams.
Automated data ingestion and transformation workflows, cutting manual effort by 40% and reducing delivery delays.
Developed data quality frameworks with validation checks, ensuring 99%+ accuracy in business-critical reporting.
Collaborated with data scientists and analysts to streamline ML model integration, reducing experimentation time from weeks to days.
Partnered with stakeholders to modernize reporting pipelines, enabling faster insights and supporting data-driven decision-making

PySparkAirflowGCPData QualityData EngineeringETL/ELT