Sahil Lakshminarasimhan

Software Engineer

India5 yrs 10 mos experience

Key Highlights

Led development of chargeback pipeline at Google.
Achieved 93% reduction in processing time at Tekion.
Automated revenue calculations for 200 properties at qBotica.

Stackforce AI infers this person is a Data Engineer with strong expertise in backend development and data processing solutions.

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Skills

Core Skills

Distributed SystemsSqlData EngineeringEtlBackend DevelopmentJavaTeam Leadership

Other Skills

C++Design docsGoogle SpannerPython (Programming Language)MySQLPostgreSQLMongoDBPandasApache SupersetApache AirflowApache SparkClickHousePythonSpring FrameworkDocker

About

An adaptable software who has worked in application, data engineering and data infra domains. Proficient in Java (Spring), Python(Pandas, Numpy, Spark), SQL(MySQL, PostgreSQL), NoSQL(MongoDB, ClickHouse) and AWS. Always seeking more accountability and ownership

Experience

Google

Software Engineer

Jun 2024 – Dec 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India

Google Ads Platform Infra
Evenflow pipelines processes ads logs for the purpose of internal reporting and analytics of A/B experiment data for clients. Ads logs are converted into tables.
Chargeback Pipeline: Spearheaded the development of a robust chargeback pipeline to attribute infra costs to clients, scaling across 2T daily events. Coordinated with 3 teams, applied data-driven ratios on usage/obligations, and drove client communication—boosting chargeback coverage from 50% → 98%.
Completeness Monitoring: Led design and rollout of monitoring across A/B experiment pipelines, comparing source vs. destination events. Improved data completeness to ~99.75%.
Oncall - Unblocked a critical production release by resolving a staging pipeline resource issue that was failing automated checks. Verified binaries through a controlled run on production, cutting mitigation time by 50%. Optimized pipeline resource configuration post-release, improving latency by ~60%

C++Design docsSQLGoogle SpannerDistributed Systems

Tekion corp

Associate Software Engineer

Aug 2022 – Jun 2024 · 1 yr 10 mos · Chennai, Tamil Nadu, India

I successfully led the development of robust ETL pipelines that transformed data processing capabilities and drove significant business growth.
Achieved a 93% reduction in processing time for SKU penetration analysis, boosting sales for underperforming products by 82%.
Automated duplicate dealer identification, eliminating nearly all duplicates from CRM data and enhancing data integrity.
Participated in the design of a batch ETL pipeline that reduced ticket resolution time by 64%, improving customer support efficiency.

Python (Programming Language)MySQLPostgreSQLMongoDBPandasApache Superset+5

Qbotica

Software Developer

Jun 2021 – Jul 2022 · 1 yr 1 mo · Chennai, Tamil Nadu, India

I contributed to transformative backend solutions at qBotica, achieving significant automation and efficiency gains.
Led the automation of revenue calculations for 200 properties per second, streamlining financial operations.
Oversaw the generation of E-Statements in five languages, enhancing customer service for a banking client.
Developed skills in Java, Spring, Docker, and AWS, while mentoring junior developers to foster team growth.

JavaSpring FrameworkDockerAmazon Web Services (AWS)Backend Development

Career break

Health and well-being

Jul 2020 – May 2021 · 10 mos · Chennai, Tamil Nadu

Currents, nit trichy

Head-Design team

Jul 2019 – Feb 2020 · 7 mos · Tiruchirappalli, Tamil Nadu, India

Managed a team of 7 which designed posters, banners and 2 editions of Tronicals, a tech-magazine, for Currents, the annual EEE symposium of NIT Trichy.

Team LeadershipTeam Management

Brakes india private limited

Summer Intern

May 2019 – Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

Designed a circuit to detect faults in a wheel speed sensor placed in cars. This was necessary to identify faults in ABS and prevent accidents.
Designed an automatic braking system using an ultrasonic sensor , which when used in a large scale can prevent collisions.
The above algorithms were implemented using Arduino.

Arduino IDE