Sakshi M.

Data Engineer

6 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built scalable data solutions reducing audit review time by 90%.
Developed dashboards improving HR decision-making by 30%.
Automated reporting processes saving 5 hours daily for 15+ employees.

Stackforce AI infers this person is a Data Engineering and Analytics expert in Health-Tech and Media sectors.

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Skills

Core Skills

Data EngineeringBusiness IntelligenceData Analytics

Other Skills

A/B TestingAI AgentsAWSAWS CloudAWS CloudFormationAWS GlueAWS S3AlteryxAmazon AthenaAmazon Elastic MapReduce (EMR)Amazon Relational Database Service (RDS)Amazon S3Anomaly DetectionApache KafkaApache Spark

About

Data & Analytics Engineer with 5+ years building end-to-end data pipelines, orchestrating large-scale transformations, and designing analytics-ready models across tech, health-tech, and media. Skilled in SQL, Python, AWS, and the modern data stack, with strengths in data quality, governance, automated reporting, and optimizing datasets for ML/AI workloads. Adept at partnering with product and data science teams to translate complex requirements into scalable data and reporting solutions. Outside of work, you can find me exploring different neighborhoods, volunteering, traveling, reading or engaging in thought provoking conversations. I believe in staying grounded and making a positive difference. Skills: Data Engineering, Analytics Engineering, Data Modeling, Business Intelligence, Statistical Analysis, Technology Consulting, Mentorship

Experience

6 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 3 mos

Current Experience

Aligned marketplace

Data Platform and Engineering

Mar 2025 – Present · 1 yr 3 mos · United States

Jerseystem

Data Science and Engineering

Feb 2024 – Feb 2025 · 1 yr · New York City Metropolitan Area · Remote

Developed HR analytics dashboards using Looker and MySQL, partnering with HR and cross-functional teams to optimize workforce and L&D management, leading to a 30% improvement in HR decision making.
Designed and implemented an end-to-end Business Intelligence platform using ETL pipelines and Tableau, enabling gap analysis, geographic mapping, and demographic filtering to uncover critical funding needs, resulting in a 25% increase in funding opportunity identification.

LookerMySQLETLTableauData EngineeringBusiness Intelligence

Embecta

Data Analytics Intern

May 2023 – Sep 2023 · 4 mos · New Jersey, United States · Hybrid

Partnered with senior leadership to develop insights-based audit solutions across 8+ global offices, achieving a 70% increase in operational efficiency.
Automated fraud reporting processes using Python, Power BI, and SQL, creating indicators that analyzed the full population of data to identify high-risk transactions for T&E, Vendor, and Procurement audits. Saved 5 hours daily for 15+ employees and enhanced decision-making.

PythonPower BISQLData Analytics

Deloitte consulting

Data and Analytics Engineer

Mar 2021 – Jul 2022 · 1 yr 4 mos · India · Hybrid

Delivered strategic data solutions for a leading asset management client, enhancing internal audit capabilities and driving growth through talent development.
Built a scalable forensic analytics pipeline using AWS Cloud, PySpark, and SparkSQL to audit cloud storage enterprise-wide, streamlining data workflows across 12 business lines and resulting in a 90% reduction in audit review time.
Co-led the migration of multi-petabyte datasets from Oracle to AWS S3, creating a scalable data lake that cut query latency by 40% using Athena and Redshift.
Coached over 80 consultants on AWS services, driving team growth and earning a “Spot Award” for contributions to talent development at Deloitte.

AWS CloudPySparkSparkSQLData Engineering

Rsg media

Software Engineer

Jan 2018 – Feb 2021 · 3 yrs 1 mo · India · On-site

Collaborated with stakeholders to develop data engineering and reporting solutions for Fortune 500 Media and Entertainment clients, enhancing decision-making through data-driven insights.
Developed interactive Tableau dashboards for senior leadership, providing real-time campaign revenue insights across 20+ Cable TV Networks. This initiative enabled informed decision-making and saved 20+ hours/month in revenue reporting.
Built automated ETL pipelines (Python, SQL, AWS, Talend) to ingest and standardize high-volume media datasets, improving data accuracy by 40% and enabling daily, SLA-compliant delivery of analytics-ready tables used by Product, BI, and Data Science teams.
Collaborated with Data Scientists and Product Managers to define model-ready datasets, supporting app development through complex SQL queries, large-scale data extractions, and deep-dive analysis for analytics and machine-learning use cases.

TableauPythonSQLAWSTalendData Engineering+1