K.Manasa Kumandan

Associate Consultant

Bengaluru, Karnataka, India6 yrs 2 mos experience

Highly Stable

Key Highlights

Reduced reporting cycle by 83% through workflow optimization.
Built scalable ETL pipelines for enterprise clients.
Improved data accuracy with comprehensive validation systems.

Stackforce AI infers this person is a Data Analyst specializing in ETL processes and data optimization for enterprise solutions.

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Skills

Core Skills

EtlData AnalysisProcess Improvement

Other Skills

Agile MethodologiesAmazon Web Services (AWS)Analytical SkillsData FlowData Workflow OptimizationData handlingDatabasesManagementMatplotlibMicrosoft ExcelMySQLPandasPipelinesProject ManagementPySpark

About

Senior Data Analyst with 5+ years of experience building scalable ETL pipelines, optimizing data workflows, and delivering reliable, decision-ready insights for enterprise clients. Skilled in Python, SQL, PySpark, Pandas with a proven record of improving data accuracy and automating reporting at scale. When I’m not working with data, you’ll likely find me at the gym recharging. Always open to learning, collaborating, and building data solutions that make a real impact.

Experience

Ey

2 roles

Senior Consultant

Promoted

Nov 2024 – Present · 1 yr 5 mos · India · Hybrid

Led ETL development for multiple enterprise clients, mentoring junior analysts and establishing Python, Pandas, and
SQL best practices.
Designed and deployed optimized ETL frameworks, strengthening data quality and accelerating reporting across business
functions.
Reduced reporting cycle from 6 months to 1 month (83% faster) by re-engineering workflows aligned with business
requirements.
Built comprehensive precheck and validation systems, reducing data errors by 95%.
Applied complex business logic to large datasets to ensure accurate reporting and compliance with analytical requirements.

PythonPandasSQLETLData Analysis

Consultant

Mar 2024 – Oct 2024 · 7 mos · India · Hybrid

Developed end-to-end ETL pipelines integrating data from Excel, CSV, and MS SQL Server using Python, Pandas,
PySpark, and SQL
Strengthened ETL stability by implementing exception handling, logging, and multi-layer validation checks.
Reduced client verification time by 50% with detailed transformation review reports delivered post-main report.

PythonPandasPySparkSQLETLData Analysis

Tata consultancy services

2 roles

Python Developer

Promoted

Jan 2020 – Mar 2024 · 4 yrs 2 mos

Built an enterprise admission funnel tracking 1,800 salespersons across Lead → Opportunity → Buckets → Follow-Up
→ Final Conversion using Python, Pandas, and SQL.
Automated high-volume communication by developing template-driven email generation workflows with Python formatting
and templating libraries.
Engineered robust ETL processes for diverse data sources, ensuring accurate transformation and reliable loading into
SQL databases.

PythonPandasSQLData AnalysisETL