Sharath Kumar ks profile photo 1 on Tal

Sharath Kumar ks

Data Analyst @ Discover Dollar Inc | Analytical Skills

Bengaluru

1+ year of work experience

Discover Dollar Inc
Jun 20265 mosPresent

Bengaluru, Karnataka, India · Hybrid

Discover Dollar Inc
Nov 20258 mosJun 2026

Bengaluru, Karnataka, India · Hybrid

I am excited to share that I have joined Discover Dollar as an Analytical Engineer, where I design and optimize large-scale data processing workflows to extract insights from high-volume retail, transaction, and invoice datasets. Core Responsibilities: • Build distributed ETL pipelines using PySpark on Databricks (DataFrames, Delta Lake, Job Workflows) • Implement high-performance data transformations using Python, Pandas, NumPy, and Polars • Optimize Spark jobs through partitioning, caching, broadcast joins, and execution plan analysis • Write advanced SQL (CTEs, window functions, analytical functions) for data modeling, validation, and reporting • Automate data cleaning, schema enforcement, anomaly detection, and deduplication for diverse input sources • Develop reproducible, modular data processing scripts with logging, exception handling, and unit tests • Collaborate with engineering and analytics teams to build reliable data products that support reconciliation and revenue-recovery use cases Tech Stack: Python, PySpark, Pandas, NumPy, Polars, Delta Lake, Databricks, Advanced SQL, DBFS, Workflow Jobs

Sharath’s AI Stack

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Education

Reva University

Bachelor of Technology - BTech, Information Technology

Reva University

20214 yrs2025

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Headline

Data Analyst @ Discover Dollar Inc | Analytical Skills

Location

Bengaluru

AI stack

claude code

claude

Work experience

Data Analyst at Discover Dollar Inc, Jun 2026 - Present · 5 mos, Bengaluru, Karnataka, India · Hybrid

Analytical Engineer at Discover Dollar Inc, Nov 2025 - Jun 2026 · 8 mos, Bengaluru, Karnataka, India · Hybrid, I am excited to share that I have joined Discover Dollar as an Analytical Engineer, where I design and optimize large-scale data processing workflows to extract insights from high-volume retail, transaction, and invoice datasets. Core Responsibilities: • Build distributed ETL pipelines using PySpark on Databricks (DataFrames, Delta Lake, Job Workflows) • Implement high-performance data transformations using Python, Pandas, NumPy, and Polars • Optimize Spark jobs through partitioning, caching, broadcast joins, and execution plan analysis • Write advanced SQL (CTEs, window functions, analytical functions) for data modeling, validation, and reporting • Automate data cleaning, schema enforcement, anomaly detection, and deduplication for diverse input sources • Develop reproducible, modular data processing scripts with logging, exception handling, and unit tests • Collaborate with engineering and analytics teams to build reliable data products that support reconciliation and revenue-recovery use cases Tech Stack: Python, PySpark, Pandas, NumPy, Polars, Delta Lake, Databricks, Advanced SQL, DBFS, Workflow Jobs

Education

Bachelor of Technology - BTech, Information Technology, Reva University