AVINASH SINGH

Product Manager

Bengaluru, Karnataka, India11 yrs 5 mos experience

Key Highlights

Over 10 years of experience in cloud-based solutions.
Expertise in data architecture across diverse industries.
Proven track record in optimizing data workflows.

Stackforce AI infers this person is a Data Architect specializing in cloud solutions for Fintech and SaaS industries.

Contact

Skills

Core Skills

Data ArchitectureSolution ArchitectureDatabase ConsultingData EngineeringData Analysis

Other Skills

Team LeadershipTeam BuildingTechnical RecruitingETLPresalesSoftware as a Service (SaaS)Google Cloud Platform (GCP)Amazon Web Services (AWS)Apache KafkaAmazon Relational Database Service (RDS)Business MetricsData ArchitectsData ObservabilityPython (Programming Language)Domain Architecture

About

10+ years of overall experience in cloud based full stack engineer, Cloud Consultant, Data/Solution Architect and databases. Pre-sales, success proof of concept, helping customers to re-engineern data Warehousing using GCP &AWS services, creating ETL pipelines & robust workflow implementations. Responsible for driving and leading solution design and architecture for business to automate business processes. Design methodology for performance tuning and cost optimization. Establish frameworks and delivery methodologies. Domain expertise in Financial, HR, Banking, Entertainment, Fintech & manufacturing. Design migration plan, phases, Risk assessment, performance and cost optimization. Project management.

Experience

11 yrs 5 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 1 mo

Current Experience

Adobe

Senior Data Architect

May 2025 – Present · 1 yr 1 mo · Bengaluru · Hybrid

Rakuten india

Solution/Pre-Sales/Product

May 2024 – May 2025 · 1 yr · Bangalore Urban, Karnataka, India · Hybrid

Hevo data

Solutions Architect

Apr 2023 – Apr 2024 · 1 yr · Bengaluru, Karnataka, India

Joined Global Solutions team as Pre/Post sales Architect
Working on top 30 accounts & Indian Unicorn companies in Hevo by undertaking detailed PoCs, understanding reference architectures and improving their existing setup and help them scale their journey
Acting as a TAM for 100+ top accounts by guiding customers on data engineering best
practices, architectural patterns.
Skills: Team Leadership · Team Building · Technical Recruiting · ETL · Data Architecture · Presales · Software as a Service (SaaS) · Solution Architecture · Google Cloud Platform (GCP) · Data Engineering · Amazon Web Services (AWS)

Team LeadershipTeam BuildingTechnical RecruitingETLData ArchitecturePresales+5

Searce inc

Data Architect

Jul 2021 – Apr 2023 · 1 yr 9 mos · Mumbai, Maharashtra, India

AWS Stack - Redshift, Spectrum, Athena, RDS, Aurora, DynamoDB, Lambda, Glue, EC2, EMR, S3, etc
GCP Stack - BigQuery, Cloud SQL, Composer, Dataflow, DataStream, DataFusion, GCE, DataProc, GCS, Pub/Sub, etc
SQL, SQL Server, Oracle, MySQL, PostgreSQL, etc
ETL - Informatica, SSIS, IIDR, Hevo, Fivetran, Airbyte, etc

Google Cloud Platform (GCP)Amazon Web Services (AWS)Apache KafkaAmazon Relational Database Service (RDS)Business MetricsData Architects+2

Intuit

Data Engineer

Dec 2019 – Jul 2021 · 1 yr 7 mos · Bengaluru, Karnataka, India

Worked as AWS engineer to create data lake in AWS to easy the process and make a unified solution for all the data team across the company.
Help migrating in-house Data Warehouse to AWS.

Amazon Relational Database Service (RDS)Business MetricsData Engineering

Cai

Senior Software Developer

Sep 2018 – Nov 2019 · 1 yr 2 mos · Bengaluru Area, India

Working in the core analytics team responsible for reporting and Data warehousing for all BU/PL.
Analyzing data and creating a report, dashboards using Amazon Redshift, Netezza. Responsible for identifying relevant insights and building analytical reports for business.

Amazon Relational Database Service (RDS)Business MetricsData Analysis

Accenture

Software Engineer

Nov 2014 – Sep 2018 · 3 yrs 10 mos · Mumbai Area, India

Worked in the Audit and Finance Accounting module and responsible for identifying relevant insights and building analytical reports, dashboards and processing data using ETL pipelines using Informatica, SQL and BI tools like Qliksense, Qlikview.