ASMITA DAS

Data Engineer

Pune, India4 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Expert in backend development and data engineering.
Proficient in Python and Go programming languages.
Azure and Snowflake certified professional.

Stackforce AI infers this person is a Backend Data Engineer with expertise in SaaS and automation frameworks.

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Skills

Core Skills

Data EngineeringBackend Development

Other Skills

PythonGoFastAPIMicrosoft AzureSnowflakeSplunkVictoriaMetricsSQLETLREST APIsAPI DevelopmentConcordShell ScriptingDeep Learning

About

I’m currently working at Accenture as a Data Engineering, Management & Governance Analyst, spending my days (and sometimes nights) building / learning cool stuff with Python, Go and learning from the experts around me. Over the last two years and two months, I’ve been knee-deep in backend development, automation, and database magic, building APIs, designing ETL jobs, automating stuffs. I’m Azure and Snowflake certified, and I’ve even dabbled a bit in frontend development, because let’s be honest, understanding how the entire system connects makes the backend game even stronger. With just a couple of years in, I know it’s too early to settle on one tech stack and I don’t plan to. I thrive on learning new frameworks, experimenting with trending tools, and taking on challenges that make me question everything I know — the kind that leave me staring at the screen, pulling my hair, maybe crying a little, but eventually, shipping clean code. Right now, I’m looking for opportunities that let me code more, build more, and break a few things (so I can fix them better) — backend, full stack, data, automation… if it’s got something new, I’m in.

Experience

4 yrs 5 mos

Total Experience

2 yrs 2 mos

Average Tenure

2 yrs 8 mos

Current Experience

Accenture, india

Data Engineering Management and Governance Analyst

Sep 2023 – Present · 2 yrs 8 mos · Pune · On-site

T-Mobile
Developed an end-to-end automation framework of APIs (add, update, disable, delete monitors) using Golang, reducing manual monitor onboarding effort in Argos by 85%.
Onboarded 500+ monitors across multiple services, strengthening system observability across staging and production environments.
Designed and implemented 10+ ETL pipelines between VictoriaMetrics and Oracle DB, automating complex data flows by 70%. Performed advanced data aggregation and writes to VictoriaMetrics to enable direct data access for backend services.
Enhanced and onboarded 25+ Splunk queries for the enterprise monitoring tool Argos.
RTD (Internal Retail Project)
Developed and deployed RESTful APIs using FastAPI to power retail analytics dashboards, enabling real-time tracking of product-wise revenue, sales, and profits which improved decision-making speed by ~60%.
Integrated backend APIs with interactive frontend visualisations, generating dynamic charts and metrics (line, bar, pie, histogram) that enhanced user experience for business stakeholders.
Populated small-scale synthetic datasets to simulate retail transactions, improving testing accuracy and metric calculation efficiency.
Chevron
Worked in Azure environments for configuration setup, deployment validation, and data testing.
Performed code validation to ensure cross-environment data consistency and supported QA activities for smoother releases.
Collaborated with teams to improve deployment stability by identifying and resolving configuration-level issues.
Technologies & Tools: Python | Go | FastAPI | Microsoft Azure | Snowflake | Splunk | VictoriaMetrics | SQL | ETL | REST APIs