Abhishek Nahar — Business Development Executive

Technology and domain agnostic, hands-on data engineering and analytics specialist, works on solving business problem with data. Helped organisations on setting up data architecture, working models and process from scratch to optimally utilise it for driving business decisions based on analytics. Worked extensively with big data frameworks & tools(Spark, Hadoop, MapReduce, Kafka, Hive, Impala, Sqoop, Databricks, Jupyter, Zeppelin), big data vendors (Cloudera, Hortonworks), relations databases (Oracle, MySql, SQL Server, Postgres), ETL tools, workflow management tools, programming & scripting languages (Python, Scala, Java, Shell, SQL), search solutions (Attivio, Solar, Lucene, ELK stack), different data formats, business intelligence tools(Tableau, Qlikview, PowerBI, Grafana) and cloud solutions (Azure, AWS); designing end-to-end solution with a target to get business value out of them. Employs agile methodologies while working on POCs with quick turnarounds to showcase technology applicability in the business to kick start new collaborations and projects. Fast learner with proven records of quickly ramping up on technologies and domains as per business needs. Open to take new challenges and solve the problem at hand by employing technology in best possible manner. Mentored colleagues to groom them into next generations data leads. Lead teams of varying size across geographies & timezones with responsibility for their coaching, mentorship and appraisals. Often acts as a bridge in between business & technologists and help business understand technology better by taking workshops and sessions on relevant technology topics. Worked across client services, product development and technology consulting. On constant endeavour to learn new skills & technologies and currently interested in topics like Data engineering, IoT, Cloud computing, DevOps, Blockchain, AI and machine learning.

Stackforce AI infers this person is a data engineering and analytics expert in the SaaS industry.

Experience: 17 yrs 6 mos

Skills

Data Engineering
Big Data Analytics

Career Highlights

Expert in data engineering and analytics solutions.
Proven track record in mentoring future data leaders.
Strong background in big data frameworks and cloud solutions.

Work Experience

Atlan

Technical Account Manager (2 yrs 4 mos)

Databricks

Solutions Architect (1 yr 10 mos)

McKinsey & Company

Principal (Jr.) - Data Architect (1 yr 9 mos)

Data Specialist Consultant (1 yr 11 mos)

Pitney Bowes

Advisory Software Engineer (1 yr 5 mos)

Synechron

Big data Lead (1 yr 9 mos)

Persistent Systems

Technology Lead (1 yr 3 mos)

Infosys

Technical Analyst (2 yrs 10 mos)

Tech Mahindra

Technical Associate (2 yrs 5 mos)

Education

Bachelor of Engineering (B.E.) at Institute Of Technology and Management

Abhishek Nahar

Business Development Executive

India17 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in data engineering and analytics solutions.
Proven track record in mentoring future data leaders.
Strong background in big data frameworks and cloud solutions.

Stackforce AI infers this person is a data engineering and analytics expert in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringBig Data Analytics

Other Skills

Amazon EC2Amazon Elastic MapReduce (EMR)Amazon S3Amazon Web Services (AWS)Analytical SkillsAnalyticsApache KafkaApache SparkApache Spark StreamingAzure Data FactoryAzure Data LakeAzure DatabricksBig DataCoachingCoaching & Mentoring

About

Experience

17 yrs 6 mos

Total Experience

2 yrs 2 mos

Average Tenure

2 yrs 4 mos

Current Experience

Atlan

Technical Account Manager

Feb 2024 – Present · 2 yrs 4 mos

Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more.
Proud to be enabling amazing teams like Plaid, Postman & Unilever.
Backed by top investors like Insight, Sequoia & Waterbridge and amazing angels such as the founding teams of Snowflake, Looker, Stitch
Recognised as a Gartner Cool Vendor in the inaugural report on DataOps, one of the top 3 companies globally.

Data Governance

Databricks

Solutions Architect

Apr 2022 – Feb 2024 · 1 yr 10 mos

As a Solutions Architect, spearheaded the technical evaluation phase in a hands-on environment throughout the sales process for multiple customers. Acted as a technical advisor internally to the sales
team and worked with the product team as an advocate of my customers in the field. Helped customers to achieve tangible data-driven outcomes using our Databricks Lakehouse Platform, helping data teams complete projects and integrate platform into their enterprise Ecosystem. Designed solutions to customers' biggest challenges in big data, analytics, data engineering and data science problems.
Key achievements:
Acted as a Technical champion in increasing consumption for Databricks and closing of deals with
number of customers in BFSI and DNBs ranging commits from 120k to 1M ARR.
Guided CDOs, CIOs as part of data architecture journey into Analytics and machine learning space
starting from on-prem or different cloud platforms.
Acted as a trusted advisor on Databricks platform to guide customer on aspects of architecture and
design across big data, cloud, Data engineering and Data science problem statements.
Lead clients through evaluating and adopting Databricks including value engineering, Demand
consumption plans, use case discussion and integration with the wider cloud ecosystem.
Supported customers by authoring reference architectures, how-tos, and demo applications.
Engaged with the technical community by leading workshops, seminars and meet-ups
Formed successful relationships with every level at customers starting from Data architects till CXOs
throughout assigned territory to provide technical and business value
Mentored solutions architects to ensure they are able to solve the customer challenges and are fully
enabled in the field.