Anand Panchal

Senior Software Engineer

Ahmedabad, Gujarat, India3 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable data pipelines.
Proven success in optimizing ETL workflows.
Strong collaborator in cloud-based data solutions.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Cloud Computing.

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Skills

Core Skills

Data EngineeringCloud Computing

Other Skills

AWS GlueAWS LambdaAmazon RedshiftAmazon S3Amazon Web Services (AWS)AnalyticsApache SparkBMC Control-MBigQueryC++Cascading Style Sheets (CSS)Core JavaDBT & Data ModellingData AnalyticsData Build Tool (DBT)

About

Experienced Data Engineer with expertise in Cloud Platform - GCP, Azure, AWS, BigQuery, Python, and PySpark. Skilled in building scalable data pipelines, optimizing ETL workflows, and enhancing data processing efficiency. Proficient in query optimization, performance tuning, and delivering cloud-based data solutions that support data-driven decision-making. Strong team collaborator focused on delivering reliable and efficient data solutions

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

Hsbc

3 roles

Senior Software Engineer

Nov 2025 – Present · 7 mos · Pune, Maharashtra, India

Software Engineer

Feb 2023 – Nov 2025 · 2 yrs 9 mos · Pune, Maharashtra, India

Risk Weighted Assets (RWA) Basel III Compliance Project at HSBC:
Contributed towards the solution to apply Risk-Weighted Asset calculations for Basel III compliance including data integrity, data modeling, ETL Processses and data visualization
Collaborated towards the migration of Risk-Weighted Assets (RWA) calculations from on-premises systems to the cloud, using GCP, BigQuery, Python, Spark, Jenkins & Github to create a scalable, efficient, and compliant data handling system for Basel III requirements.
Worked extensively with SQL (BigQuery) to write and optimize large-scale queries, improving performance by 40%, reducing execution time for large-scale analytics.
Executed intricate data transformations using Spark, leveraging analytical skills and efficient code development practices to meet project requirements, resulting in a 30% reduction in processing time.
Designed and implemented data models using DBT, enhancing data transformation processes and creating modular, reusable SQL models to transform raw data into actionable insights.

GCPBigQueryPythonSparkJenkinsGit+3

Trainee Software Engineer

Aug 2022 – Feb 2023 · 6 mos · Pune, Maharashtra, India

Infolabz

Data Engineer

May 2021 – Jun 2021 · 1 mo · Ahmedabad, Gujarat, India

Collaborated on data-driven analysis, worked with large datasets to clean, transform, and enrich data using Spark and SQL & GCP ensuring high-quality, accurate data was available for downstream analysis and reporting.
Collaborated with senior data engineers to automate data integration tasks, improving the overall ETL process efficiency and reducing data processing time by 25%.
Created and presented data analysis reports, dashboards, and presentations, effectively communicating insights to stakeholders, increasing client satisfaction and project alignment by 25%